Pandas Profiling Report

Dataset statistics

Number of variables	62
Number of observations	83
Missing cells	2062
Missing cells (%)	40.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	40.3 KiB
Average record size in memory	497.5 B

Variable types

Numeric	11
Categorical	43
Unsupported	8

Alerts

`airdate` has constant value "2020-12-21"	Constant
`_embedded.show.dvdCountry.name` has constant value "Poland"	Constant
`_embedded.show.dvdCountry.code` has constant value "PL"	Constant
`_embedded.show.dvdCountry.timezone` has constant value "Europe/Warsaw"	Constant
`_embedded.show.network.officialSite` has constant value "https://www.bbc.co.uk/bbctwo"	Constant
`url` has a high cardinality: 83 distinct values	High cardinality
`name` has a high cardinality: 65 distinct values	High cardinality
`_links.self.href` has a high cardinality: 83 distinct values	High cardinality
`_embedded.show.url` has a high cardinality: 56 distinct values	High cardinality
`_embedded.show.name` has a high cardinality: 56 distinct values	High cardinality
`_embedded.show.image.medium` has a high cardinality: 54 distinct values	High cardinality
`_embedded.show.image.original` has a high cardinality: 54 distinct values	High cardinality
`_embedded.show._links.self.href` has a high cardinality: 56 distinct values	High cardinality
`_embedded.show._links.previousepisode.href` has a high cardinality: 56 distinct values	High cardinality
`id` is highly correlated with `_embedded.show.id` and 1 other fields	High correlation
`season` is highly correlated with `number` and 3 other fields	High correlation
`number` is highly correlated with `season` and 4 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 2 other fields	High correlation
`rating.average` is highly correlated with `number` and 4 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 4 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 11 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 6 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `number` and 5 other fields	High correlation
`id` is highly correlated with `rating.average`	High correlation
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season` and 3 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 3 other fields	High correlation
`rating.average` is highly correlated with `id` and 8 other fields	High correlation
`_embedded.show.id` is highly correlated with `_embedded.show.externals.tvrage` and 2 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `season` and 9 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `_embedded.show.id` and 2 other fields	High correlation
`_embedded.show.updated` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `number` and 6 other fields	High correlation
`id` is highly correlated with `_embedded.show.id`	High correlation
`season` is highly correlated with `_embedded.show.externals.thetvdb`	High correlation
`number` is highly correlated with `rating.average` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 2 other fields	High correlation
`rating.average` is highly correlated with `number` and 2 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 3 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `rating.average` and 1 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `runtime` and 6 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 3 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `_embedded.show.id` and 3 other fields	High correlation
`id` is highly correlated with `url` and 26 other fields	High correlation
`url` is highly correlated with `id` and 47 other fields	High correlation
`name` is highly correlated with `id` and 44 other fields	High correlation
`season` is highly correlated with `url` and 29 other fields	High correlation
`number` is highly correlated with `url` and 38 other fields	High correlation
`type` is highly correlated with `url` and 32 other fields	High correlation
`airtime` is highly correlated with `url` and 41 other fields	High correlation
`airstamp` is highly correlated with `url` and 46 other fields	High correlation
`runtime` is highly correlated with `url` and 43 other fields	High correlation
`summary` is highly correlated with `id` and 36 other fields	High correlation
`rating.average` is highly correlated with `url` and 30 other fields	High correlation
`image.medium` is highly correlated with `id` and 45 other fields	High correlation
`image.original` is highly correlated with `id` and 45 other fields	High correlation
`_links.self.href` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 43 other fields	High correlation
`_embedded.show.url` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show.name` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show.type` is highly correlated with `url` and 38 other fields	High correlation
`_embedded.show.language` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.status` is highly correlated with `url` and 36 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `url` and 42 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `url` and 43 other fields	High correlation
`_embedded.show.premiered` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show.ended` is highly correlated with `id` and 38 other fields	High correlation
`_embedded.show.officialSite` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show.schedule.time` is highly correlated with `url` and 39 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `url` and 38 other fields	High correlation
`_embedded.show.weight` is highly correlated with `url` and 41 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.webChannel.name` is highly correlated with `id` and 40 other fields	High correlation
`_embedded.show.webChannel.country.name` is highly correlated with `id` and 38 other fields	High correlation
`_embedded.show.webChannel.country.code` is highly correlated with `id` and 38 other fields	High correlation
`_embedded.show.webChannel.country.timezone` is highly correlated with `id` and 38 other fields	High correlation
`_embedded.show.webChannel.officialSite` is highly correlated with `id` and 33 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `url` and 22 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `url` and 38 other fields	High correlation
`_embedded.show.externals.imdb` is highly correlated with `id` and 46 other fields	High correlation
`_embedded.show.image.medium` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show.image.original` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show.summary` is highly correlated with `id` and 46 other fields	High correlation
`_embedded.show.updated` is highly correlated with `id` and 40 other fields	High correlation
`_embedded.show._links.self.href` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show._links.previousepisode.href` is highly correlated with `id` and 47 other fields	High correlation
`_embedded.show._links.nextepisode.href` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.network.name` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.network.country.name` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.network.country.code` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.network.country.timezone` is highly correlated with `url` and 34 other fields	High correlation
`number` has 3 (3.6%) missing values	Missing
`runtime` has 3 (3.6%) missing values	Missing
`summary` has 74 (89.2%) missing values	Missing
`rating.average` has 79 (95.2%) missing values	Missing
`image.medium` has 69 (83.1%) missing values	Missing
`image.original` has 69 (83.1%) missing values	Missing
`_embedded.show.language` has 1 (1.2%) missing values	Missing
`_embedded.show.runtime` has 9 (10.8%) missing values	Missing
`_embedded.show.averageRuntime` has 1 (1.2%) missing values	Missing
`_embedded.show.ended` has 37 (44.6%) missing values	Missing
`_embedded.show.officialSite` has 9 (10.8%) missing values	Missing
`_embedded.show.rating.average` has 77 (92.8%) missing values	Missing
`_embedded.show.network` has 83 (100.0%) missing values	Missing
`_embedded.show.webChannel.id` has 2 (2.4%) missing values	Missing
`_embedded.show.webChannel.name` has 2 (2.4%) missing values	Missing
`_embedded.show.webChannel.country.name` has 39 (47.0%) missing values	Missing
`_embedded.show.webChannel.country.code` has 39 (47.0%) missing values	Missing
`_embedded.show.webChannel.country.timezone` has 39 (47.0%) missing values	Missing
`_embedded.show.webChannel.officialSite` has 37 (44.6%) missing values	Missing
`_embedded.show.dvdCountry` has 83 (100.0%) missing values	Missing
`_embedded.show.externals.tvrage` has 80 (96.4%) missing values	Missing
`_embedded.show.externals.thetvdb` has 25 (30.1%) missing values	Missing
`_embedded.show.externals.imdb` has 57 (68.7%) missing values	Missing
`_embedded.show.image.medium` has 2 (2.4%) missing values	Missing
`_embedded.show.image.original` has 2 (2.4%) missing values	Missing
`_embedded.show.summary` has 11 (13.3%) missing values	Missing
`image` has 83 (100.0%) missing values	Missing
`_embedded.show._links.nextepisode.href` has 75 (90.4%) missing values	Missing
`_embedded.show.webChannel.country` has 83 (100.0%) missing values	Missing
`_embedded.show.dvdCountry.name` has 82 (98.8%) missing values	Missing
`_embedded.show.dvdCountry.code` has 82 (98.8%) missing values	Missing
`_embedded.show.dvdCountry.timezone` has 82 (98.8%) missing values	Missing
`_embedded.show.image` has 83 (100.0%) missing values	Missing
`_embedded.show.network.id` has 79 (95.2%) missing values	Missing
`_embedded.show.network.name` has 79 (95.2%) missing values	Missing
`_embedded.show.network.country.name` has 79 (95.2%) missing values	Missing
`_embedded.show.network.country.code` has 79 (95.2%) missing values	Missing
`_embedded.show.network.country.timezone` has 79 (95.2%) missing values	Missing
`_embedded.show.network.officialSite` has 82 (98.8%) missing values	Missing
`_embedded.show.webChannel` has 83 (100.0%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`summary` is uniformly distributed	Uniform
`rating.average` is uniformly distributed	Uniform
`image.medium` is uniformly distributed	Uniform
`image.original` is uniformly distributed	Uniform
`_links.self.href` is uniformly distributed	Uniform
`_embedded.show.externals.tvrage` is uniformly distributed	Uniform
`_embedded.show.externals.imdb` is uniformly distributed	Uniform
`_embedded.show._links.nextepisode.href` is uniformly distributed	Uniform
`_embedded.show.network.id` is uniformly distributed	Uniform
`_embedded.show.network.name` is uniformly distributed	Uniform
`_embedded.show.network.country.name` is uniformly distributed	Uniform
`_embedded.show.network.country.code` is uniformly distributed	Uniform
`_embedded.show.network.country.timezone` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links.self.href` has unique values	Unique
`_embedded.show.genres` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.schedule.days` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.dvdCountry` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel.country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-06 02:46:14.952580
Analysis finished	2022-09-06 02:46:29.142659
Duration	14.19 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	83
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2038868.518

Minimum	1967930
Maximum	2374503
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	1967930
5-th percentile	1973045.9
Q1	1985222
median	1993808
Q3	2036976.5
95-th percentile	2310619.5
Maximum	2374503
Range	406573
Interquartile range (IQR)	51754.5

Descriptive statistics

Standard deviation	103946.8004
Coefficient of variation (CV)	0.05098259132
Kurtosis	3.309026545
Mean	2038868.518
Median Absolute Deviation (MAD)	11941
Skewness	2.067963091
Sum	169226087
Variance	1.080493732 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1977899	1	1.2%
1998542	1	1.2%
1993817	1	1.2%
1993816	1	1.2%
1993815	1	1.2%
1993814	1	1.2%
1993813	1	1.2%
1993812	1	1.2%
1993811	1	1.2%
1993810	1	1.2%
Other values (73)	73	88.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1967930	1	1.2%
1969063	1	1.2%
1970768	1	1.2%
1972059	1	1.2%
1972713	1	1.2%
1976042	1	1.2%
1976043	1	1.2%
1977329	1	1.2%
1977416	1	1.2%
1977578	1	1.2%

Value	Count	Frequency (%)
2374503	1	1.2%
2368298	1	1.2%
2353915	1	1.2%
2353914	1	1.2%
2318109	1	1.2%
2243214	1	1.2%
2239610	1	1.2%
2211137	1	1.2%
2197597	1	1.2%
2197287	1	1.2%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	83
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	1
https://www.tvmaze.com/episodes/1998542/love-script-1x03-episode-3	1
https://www.tvmaze.com/episodes/1993817/the-case-solver-1x11-episode-11	1
https://www.tvmaze.com/episodes/1993816/the-case-solver-1x10-episode-10	1
https://www.tvmaze.com/episodes/1993815/the-case-solver-1x09-episode-9	1
Other values (78)	78

Length

Max length	141
Median length	95
Mean length	79.5060241
Min length	58

Characters and Unicode

Total characters	6599
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12
2nd row	https://www.tvmaze.com/episodes/2164195/ispoved-1x09-viktoria-bona
3rd row	https://www.tvmaze.com/episodes/1982407/volk-1x09-seria-09
4th row	https://www.tvmaze.com/episodes/1982408/volk-1x10-seria-10
5th row	https://www.tvmaze.com/episodes/1988014/muzskaa-tema-1x03-seria-3

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	1	1.2%
https://www.tvmaze.com/episodes/1998542/love-script-1x03-episode-3	1	1.2%
https://www.tvmaze.com/episodes/1993817/the-case-solver-1x11-episode-11	1	1.2%
https://www.tvmaze.com/episodes/1993816/the-case-solver-1x10-episode-10	1	1.2%
https://www.tvmaze.com/episodes/1993815/the-case-solver-1x09-episode-9	1	1.2%
https://www.tvmaze.com/episodes/1993814/the-case-solver-1x08-episode-8	1	1.2%
https://www.tvmaze.com/episodes/1993813/the-case-solver-1x07-episode-7	1	1.2%
https://www.tvmaze.com/episodes/1993812/the-case-solver-1x06-episode-6	1	1.2%
https://www.tvmaze.com/episodes/1993811/the-case-solver-1x05-episode-5	1	1.2%
https://www.tvmaze.com/episodes/1993810/the-case-solver-1x04-episode-4	1	1.2%
Other values (73)	73	88.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	1	1.2%
https://www.tvmaze.com/episodes/1972059/red-vs-blue-18x07-for-power-pt-1	1	1.2%
https://www.tvmaze.com/episodes/1982407/volk-1x09-seria-09	1	1.2%
https://www.tvmaze.com/episodes/1982408/volk-1x10-seria-10	1	1.2%
https://www.tvmaze.com/episodes/1988014/muzskaa-tema-1x03-seria-3	1	1.2%
https://www.tvmaze.com/episodes/2062926/god-of-ten-thousand-realms-1x01-episode-1	1	1.2%
https://www.tvmaze.com/episodes/2062927/god-of-ten-thousand-realms-1x02-episode-2	1	1.2%
https://www.tvmaze.com/episodes/2062928/god-of-ten-thousand-realms-1x03-episode-3	1	1.2%
https://www.tvmaze.com/episodes/2140388/going-seventeen-2020-12-21-going-vs-seventeen-2	1	1.2%
https://www.tvmaze.com/episodes/2353914/300-year-old-class-of-2020-1x01-episode-1	1	1.2%
Other values (73)	73	88.0%

Most occurring characters

Value	Count	Frequency (%)
e	575	8.7%
-	537	8.1%
s	446	6.8%
t	416	6.3%
/	415	6.3%
o	360	5.5%
w	281	4.3%
a	247	3.7%
p	237	3.6%
i	235	3.6%
Other values (30)	2850	43.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4383	66.4%
Decimal Number	1015	15.4%
Other Punctuation	664	10.1%
Dash Punctuation	537	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	575	13.1%
s	446	10.2%
t	416	9.5%
o	360	8.2%
w	281	6.4%
a	247	5.6%
p	237	5.4%
i	235	5.4%
m	211	4.8%
d	195	4.4%
Other values (16)	1180	26.9%

Decimal Number

Value	Count	Frequency (%)
1	228	22.5%
2	146	14.4%
0	134	13.2%
9	120	11.8%
3	95	9.4%
8	79	7.8%
7	63	6.2%
4	57	5.6%
6	48	4.7%
5	45	4.4%

Other Punctuation

Value	Count	Frequency (%)
/	415	62.5%
.	166	25.0%
:	83	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	537	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4383	66.4%
Common	2216	33.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	575	13.1%
s	446	10.2%
t	416	9.5%
o	360	8.2%
w	281	6.4%
a	247	5.6%
p	237	5.4%
i	235	5.4%
m	211	4.8%
d	195	4.4%
Other values (16)	1180	26.9%

Common

Value	Count	Frequency (%)
-	537	24.2%
/	415	18.7%
1	228	10.3%
.	166	7.5%
2	146	6.6%
0	134	6.0%
9	120	5.4%
3	95	4.3%
:	83	3.7%
8	79	3.6%
Other values (4)	213	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6599	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	575	8.7%
-	537	8.1%
s	446	6.8%
t	416	6.3%
/	415	6.3%
o	360	5.5%
w	281	4.3%
a	247	3.7%
p	237	3.6%
i	235	3.6%
Other values (30)	2850	43.2%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	65
Distinct (%)	78.3%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

Episode 2	4
Episode 1	4
Episode 7	3
Episode 4	3
Episode 6	3
Other values (60)	66

Length

Max length	75
Median length	56
Mean length	16.73493976
Min length	7

Characters and Unicode

Total characters	1389
Distinct characters	112
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	66.3%

Sample

1st row	Серия 12
2nd row	Виктория Боня
3rd row	Серия 09
4th row	Серия 10
5th row	Серия 3

Common Values

Value	Count	Frequency (%)
Episode 2	4	4.8%
Episode 1	4	4.8%
Episode 7	3	3.6%
Episode 4	3	3.6%
Episode 6	3	3.6%
Episode 3	3	3.6%
Episode 5	2	2.4%
Episode 10	2	2.4%
Episode 9	2	2.4%
Episode 8	2	2.4%
Other values (55)	55	66.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	41	15.4%
1	7	2.6%
2	6	2.3%
3	5	1.9%
	5	1.9%
серия	5	1.9%
the	4	1.5%
4	4	1.5%
6	3	1.1%
10	3	1.1%
Other values (151)	183	68.8%

Most occurring characters

Value	Count	Frequency (%)
	183	13.2%
e	96	6.9%
o	90	6.5%
i	77	5.5%
s	70	5.0%
d	57	4.1%
E	53	3.8%
r	50	3.6%
a	47	3.4%
p	45	3.2%
Other values (102)	621	44.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	814	58.6%
Uppercase Letter	238	17.1%
Space Separator	183	13.2%
Decimal Number	115	8.3%
Other Punctuation	28	2.0%
Dash Punctuation	7	0.5%
Open Punctuation	1	0.1%
Close Punctuation	1	0.1%
Initial Punctuation	1	0.1%
Final Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	96	11.8%
o	90	11.1%
i	77	9.5%
s	70	8.6%
d	57	7.0%
r	50	6.1%
a	47	5.8%
p	45	5.5%
t	41	5.0%
n	26	3.2%
Other values (37)	215	26.4%

Uppercase Letter

Value	Count	Frequency (%)
E	53	22.3%
S	17	7.1%
T	16	6.7%
L	12	5.0%
B	10	4.2%
F	9	3.8%
N	8	3.4%
R	7	2.9%
D	7	2.9%
С	7	2.9%
Other values (32)	92	38.7%

Decimal Number

Value	Count	Frequency (%)
1	26	22.6%
2	22	19.1%
0	16	13.9%
3	15	13.0%
6	8	7.0%
5	8	7.0%
4	8	7.0%
9	5	4.3%
8	4	3.5%
7	3	2.6%

Other Punctuation

Value	Count	Frequency (%)
,	10	35.7%
#	6	21.4%
:	4	14.3%
.	3	10.7%
?	2	7.1%
'	2	7.1%
!	1	3.6%

Space Separator

Value	Count	Frequency (%)
	183	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	922	66.4%
Common	337	24.3%
Cyrillic	130	9.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	96	10.4%
o	90	9.8%
i	77	8.4%
s	70	7.6%
d	57	6.2%
E	53	5.7%
r	50	5.4%
a	47	5.1%
p	45	4.9%
t	41	4.4%
Other values (37)	296	32.1%

Cyrillic

Value	Count	Frequency (%)
и	15	11.5%
я	9	6.9%
л	8	6.2%
е	7	5.4%
р	7	5.4%
С	7	5.4%
а	5	3.8%
к	5	3.8%
И	5	3.8%
М	4	3.1%
Other values (32)	58	44.6%

Common

Value	Count	Frequency (%)
	183	54.3%
1	26	7.7%
2	22	6.5%
0	16	4.7%
3	15	4.5%
,	10	3.0%
6	8	2.4%
5	8	2.4%
4	8	2.4%
-	7	2.1%
Other values (13)	34	10.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1257	90.5%
Cyrillic	130	9.4%
None	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	183	14.6%
e	96	7.6%
o	90	7.2%
i	77	6.1%
s	70	5.6%
d	57	4.5%
E	53	4.2%
r	50	4.0%
a	47	3.7%
p	45	3.6%
Other values (58)	489	38.9%

Cyrillic

Value	Count	Frequency (%)
и	15	11.5%
я	9	6.9%
л	8	6.2%
е	7	5.4%
р	7	5.4%
С	7	5.4%
а	5	3.8%
к	5	3.8%
И	5	3.8%
М	4	3.1%
Other values (32)	58	44.6%

None

Value	Count	Frequency (%)
«	1	50.0%
»	1	50.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	246.3253012

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	660.4837309
Coefficient of variation (CV)	2.681347501
Kurtosis	3.72828096
Mean	246.3253012
Median Absolute Deviation (MAD)	0
Skewness	2.37449644
Sum	20445
Variance	436238.7587
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	51	61.4%
2020	10	12.0%
2	5	6.0%
4	5	6.0%
3	4	4.8%
18	2	2.4%
9	1	1.2%
30	1	1.2%
7	1	1.2%
12	1	1.2%
Other values (2)	2	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	51	61.4%
2	5	6.0%
3	4	4.8%
4	5	6.0%
7	1	1.2%
9	1	1.2%
12	1	1.2%
18	2	2.4%
27	1	1.2%
30	1	1.2%

Value	Count	Frequency (%)
2020	10	12.0%
31	1	1.2%
30	1	1.2%
27	1	1.2%
18	2	2.4%
12	1	1.2%
9	1	1.2%
7	1	1.2%
4	5	6.0%
3	4	4.8%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	37
Distinct (%)	46.2%
Missing	3
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	32.8125

Minimum	1
Maximum	348
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	10.5
Q3	31.25
95-th percentile	95.35
Maximum	348
Range	347
Interquartile range (IQR)	27.25

Descriptive statistics

Standard deviation	65.97738273
Coefficient of variation (CV)	2.010739283
Kurtosis	13.93105278
Mean	32.8125
Median Absolute Deviation (MAD)	7.5
Skewness	3.720771583
Sum	2625
Variance	4353.015032
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
3	7	8.4%
1	6	7.2%
2	5	6.0%
11	4	4.8%
9	4	4.8%
51	4	4.8%
13	4	4.8%
7	4	4.8%
6	3	3.6%
5	3	3.6%
Other values (27)	36	43.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	7.2%
2	5	6.0%
3	7	8.4%
4	3	3.6%
5	3	3.6%
6	3	3.6%
7	4	4.8%
8	2	2.4%
9	4	4.8%
10	3	3.6%

Value	Count	Frequency (%)
348	1	1.2%
312	1	1.2%
311	1	1.2%
235	1	1.2%
88	1	1.2%
85	1	1.2%
70	1	1.2%
65	1	1.2%
59	1	1.2%
53	1	1.2%

type
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

regular	80
significant_special	2
insignificant_special	1

Length

Max length	21
Median length	7
Mean length	7.457831325
Min length	7

Characters and Unicode

Total characters	619
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	80	96.4%
significant_special	2	2.4%
insignificant_special	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	80	96.4%
significant_special	2	2.4%
insignificant_special	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	160	25.8%
a	86	13.9%
e	83	13.4%
g	83	13.4%
l	83	13.4%
u	80	12.9%
i	13	2.1%
n	7	1.1%
s	6	1.0%
c	6	1.0%
Other values (4)	12	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	616	99.5%
Connector Punctuation	3	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	160	26.0%
a	86	14.0%
e	83	13.5%
g	83	13.5%
l	83	13.5%
u	80	13.0%
i	13	2.1%
n	7	1.1%
s	6	1.0%
c	6	1.0%
Other values (3)	9	1.5%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	616	99.5%
Common	3	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	160	26.0%
a	86	14.0%
e	83	13.5%
g	83	13.5%
l	83	13.5%
u	80	13.0%
i	13	2.1%
n	7	1.1%
s	6	1.0%
c	6	1.0%
Other values (3)	9	1.5%

Common

Value	Count	Frequency (%)
_	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	619	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	160	25.8%
a	86	13.9%
e	83	13.4%
g	83	13.4%
l	83	13.4%
u	80	12.9%
i	13	2.1%
n	7	1.1%
s	6	1.0%
c	6	1.0%
Other values (4)	12	1.9%

airdate
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

2020-12-21	83

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	830
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-21
2nd row	2020-12-21
3rd row	2020-12-21
4th row	2020-12-21
5th row	2020-12-21

Common Values

Value	Count	Frequency (%)
2020-12-21	83	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-21	83	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	332	40.0%
0	166	20.0%
-	166	20.0%
1	166	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	664	80.0%
Dash Punctuation	166	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	332	50.0%
0	166	25.0%
1	166	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	166	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	830	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	332	40.0%
0	166	20.0%
-	166	20.0%
1	166	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	830	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	332	40.0%
0	166	20.0%
-	166	20.0%
1	166	20.0%

airtime
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	12.0%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

	54
20:00	16
10:00	4
12:00	2
21:00	2
Other values (5)	5

Length

Max length	5
Median length	0
Mean length	1.746987952
Min length	0

Characters and Unicode

Total characters	145
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	6.0%

Sample

1st row	10:00
2nd row	12:00
3rd row
4th row
5th row	12:00

Common Values

Value	Count	Frequency (%)
	54	65.1%
20:00	16	19.3%
10:00	4	4.8%
12:00	2	2.4%
21:00	2	2.4%
06:00	1	1.2%
18:30	1	1.2%
20:45	1	1.2%
00:00	1	1.2%
19:00	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
20:00	16	55.2%
10:00	4	13.8%
12:00	2	6.9%
21:00	2	6.9%
06:00	1	3.4%
18:30	1	3.4%
20:45	1	3.4%
00:00	1	3.4%
19:00	1	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	79	54.5%
:	29	20.0%
2	21	14.5%
1	10	6.9%
6	1	0.7%
8	1	0.7%
3	1	0.7%
4	1	0.7%
5	1	0.7%
9	1	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	116	80.0%
Other Punctuation	29	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	79	68.1%
2	21	18.1%
1	10	8.6%
6	1	0.9%
8	1	0.9%
3	1	0.9%
4	1	0.9%
5	1	0.9%
9	1	0.9%

Other Punctuation

Value	Count	Frequency (%)
:	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	145	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	79	54.5%
:	29	20.0%
2	21	14.5%
1	10	6.9%
6	1	0.7%
8	1	0.7%
3	1	0.7%
4	1	0.7%
5	1	0.7%
9	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	145	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	79	54.5%
:	29	20.0%
2	21	14.5%
1	10	6.9%
6	1	0.7%
8	1	0.7%
3	1	0.7%
4	1	0.7%
5	1	0.7%
9	1	0.7%

airstamp
Categorical

HIGH CORRELATION

Distinct	18
Distinct (%)	21.7%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

2020-12-21T12:00:00+00:00	49
2020-12-21T17:00:00+00:00	6
2020-12-21T04:00:00+00:00	5
2020-12-21T00:00:00+00:00	4
2020-12-21T02:00:00+00:00	3
Other values (13)	16

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2075
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	13.3%

Sample

1st row	2020-12-20T22:00:00+00:00
2nd row	2020-12-21T00:00:00+00:00
3rd row	2020-12-21T00:00:00+00:00
4th row	2020-12-21T00:00:00+00:00
5th row	2020-12-21T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-21T12:00:00+00:00	49	59.0%
2020-12-21T17:00:00+00:00	6	7.2%
2020-12-21T04:00:00+00:00	5	6.0%
2020-12-21T00:00:00+00:00	4	4.8%
2020-12-21T02:00:00+00:00	3	3.6%
2020-12-21T03:00:00+00:00	3	3.6%
2020-12-21T11:00:00+00:00	2	2.4%
2020-12-21T16:00:00+00:00	1	1.2%
2020-12-22T01:00:00+00:00	1	1.2%
2020-12-21T21:00:00+00:00	1	1.2%
Other values (8)	8	9.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-21t12:00:00+00:00	49	59.0%
2020-12-21t17:00:00+00:00	6	7.2%
2020-12-21t04:00:00+00:00	5	6.0%
2020-12-21t00:00:00+00:00	4	4.8%
2020-12-21t02:00:00+00:00	3	3.6%
2020-12-21t03:00:00+00:00	3	3.6%
2020-12-21t11:00:00+00:00	2	2.4%
2020-12-21t15:00:00+00:00	1	1.2%
2020-12-21t05:00:00+00:00	1	1.2%
2020-12-21t08:00:00+00:00	1	1.2%
Other values (8)	8	9.6%

Most occurring characters

Value	Count	Frequency (%)
0	852	41.1%
2	391	18.8%
:	249	12.0%
1	228	11.0%
-	166	8.0%
T	83	4.0%
+	83	4.0%
7	6	0.3%
4	6	0.3%
3	4	0.2%
Other values (4)	7	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1494	72.0%
Other Punctuation	249	12.0%
Dash Punctuation	166	8.0%
Uppercase Letter	83	4.0%
Math Symbol	83	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	852	57.0%
2	391	26.2%
1	228	15.3%
7	6	0.4%
4	6	0.4%
3	4	0.3%
5	3	0.2%
9	2	0.1%
6	1	0.1%
8	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	249	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	166	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	83	100.0%

Math Symbol

Value	Count	Frequency (%)
+	83	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1992	96.0%
Latin	83	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	852	42.8%
2	391	19.6%
:	249	12.5%
1	228	11.4%
-	166	8.3%
+	83	4.2%
7	6	0.3%
4	6	0.3%
3	4	0.2%
5	3	0.2%
Other values (3)	4	0.2%

Latin

Value	Count	Frequency (%)
T	83	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2075	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	852	41.1%
2	391	18.8%
:	249	12.0%
1	228	11.0%
-	166	8.0%
T	83	4.0%
+	83	4.0%
7	6	0.3%
4	6	0.3%
3	4	0.2%
Other values (4)	7	0.3%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	38.8%
Missing	3
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	36.6375

Minimum	2
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	2
5-th percentile	4.95
Q1	15
median	27
Q3	45
95-th percentile	120
Maximum	180
Range	178
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	32.9507664
Coefficient of variation (CV)	0.8993726755
Kurtosis	5.192923606
Mean	36.6375
Median Absolute Deviation (MAD)	17
Skewness	2.090656178
Sum	2931
Variance	1085.753006
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
27	12	14.5%
45	9	10.8%
30	7	8.4%
60	5	6.0%
7	5	6.0%
120	4	4.8%
12	3	3.6%
20	3	3.6%
11	3	3.6%
15	3	3.6%
Other values (21)	26	31.3%
(Missing)	3	3.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.4%
4	2	2.4%
5	2	2.4%
7	5	6.0%
10	2	2.4%
11	3	3.6%
12	3	3.6%
15	3	3.6%
17	1	1.2%
18	1	1.2%

Value	Count	Frequency (%)
180	1	1.2%
130	1	1.2%
120	4	4.8%
90	1	1.2%
60	5	6.0%
55	1	1.2%
53	1	1.2%
51	2	2.4%
50	1	1.2%
48	1	1.2%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	9
Distinct (%)	100.0%
Missing	74
Missing (%)	89.2%
Memory size	792.0 B

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<p>Poetess Yulia Solomonova (Sola Monova) - about modern poetry, poems on the issues of the day, the power of the Internet, inspiration, the throes of creativity, women and men.</p>	1
<p>Tan and Bun receive a strange visitor, Pat, on the night of his birthday. After a few drinks, Pat reveals his own theories behind Janejira's death. </p>	1
<p>The three remaining contestants race to the second elimination point where a dramatic change occurs in the race.</p>	1
Other values (4)	4

Length

Max length	202
Median length	121
Mean length	140.5555556
Min length	94

Characters and Unicode

Total characters	1265
Distinct characters	57
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	100.0%

Sample

1st row	<p>Zero is moments away from achieving the ultimate power! Can Shatter Squad stop him in time? The clocks ticking... </p>
2nd row	<p>Rachael Ray makes her own Chinese-style pork sausage for her oversized vegetable and protein omelets.</p>
3rd row	<p>Poetess Yulia Solomonova (Sola Monova) - about modern poetry, poems on the issues of the day, the power of the Internet, inspiration, the throes of creativity, women and men.</p>
4th row	<p>Tan and Bun receive a strange visitor, Pat, on the night of his birthday. After a few drinks, Pat reveals his own theories behind Janejira's death. </p>
5th row	<p>The three remaining contestants race to the second elimination point where a dramatic change occurs in the race.</p>

Common Values

Value	Count	Frequency (%)
<p>Zero is moments away from achieving the ultimate power! Can Shatter Squad stop him in time? The clocks ticking... </p>	1	1.2%
<p>Rachael Ray makes her own Chinese-style pork sausage for her oversized vegetable and protein omelets.</p>	1	1.2%
<p>Poetess Yulia Solomonova (Sola Monova) - about modern poetry, poems on the issues of the day, the power of the Internet, inspiration, the throes of creativity, women and men.</p>	1	1.2%
<p>Tan and Bun receive a strange visitor, Pat, on the night of his birthday. After a few drinks, Pat reveals his own theories behind Janejira's death. </p>	1	1.2%
<p>The three remaining contestants race to the second elimination point where a dramatic change occurs in the race.</p>	1	1.2%
<p>Heart struggles with a recent breakup. Jamie finds a connection to a podcaster, Win. </p>	1	1.2%
<p>James and Dale meet for the first time under less than favorable circumstances. But things could be looking up.</p>	1	1.2%
<p>Join Gus Sorola, Gavin Free, Drew Saplin, and Barbara Dunkelman as they discuss Drew's hate for the moon, astrology, climbing very tall mountains and bouncing, and more on this week's RT Podcast!</p>	1	1.2%
<p>The plague has hit London, and as Christmas approaches, Will and Kate are in wave fifteen of state-enforced home confinement together in Will's London lodgings.</p>	1	1.2%
(Missing)	74	89.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
the	12	6.0%
and	9	4.5%
a	6	3.0%
of	5	2.5%
in	4	2.0%
on	3	1.5%
for	3	1.5%
p	3	1.5%
time	2	1.0%
his	2	1.0%
Other values (143)	151	75.5%

Most occurring characters

Value	Count	Frequency (%)
	189	14.9%
e	118	9.3%
a	87	6.9%
n	81	6.4%
t	79	6.2%
o	76	6.0%
i	66	5.2%
s	61	4.8%
r	58	4.6%
h	44	3.5%
Other values (47)	406	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	938	74.2%
Space Separator	193	15.3%
Uppercase Letter	47	3.7%
Other Punctuation	46	3.6%
Math Symbol	36	2.8%
Dash Punctuation	3	0.2%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	118	12.6%
a	87	9.3%
n	81	8.6%
t	79	8.4%
o	76	8.1%
i	66	7.0%
s	61	6.5%
r	58	6.2%
h	44	4.7%
p	34	3.6%
Other values (15)	234	24.9%

Uppercase Letter

Value	Count	Frequency (%)
S	6	12.8%
T	5	10.6%
J	4	8.5%
D	4	8.5%
P	4	8.5%
W	3	6.4%
B	3	6.4%
R	3	6.4%
C	3	6.4%
G	2	4.3%
Other values (9)	10	21.3%

Other Punctuation

Value	Count	Frequency (%)
,	17	37.0%
.	13	28.3%
/	9	19.6%
'	4	8.7%
!	2	4.3%
?	1	2.2%

Space Separator

Value	Count	Frequency (%)
	189	97.9%
	4	2.1%

Math Symbol

Value	Count	Frequency (%)
<	18	50.0%
>	18	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	985	77.9%
Common	280	22.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	118	12.0%
a	87	8.8%
n	81	8.2%
t	79	8.0%
o	76	7.7%
i	66	6.7%
s	61	6.2%
r	58	5.9%
h	44	4.5%
p	34	3.5%
Other values (34)	281	28.5%

Common

Value	Count	Frequency (%)
	189	67.5%
<	18	6.4%
>	18	6.4%
,	17	6.1%
.	13	4.6%
/	9	3.2%
'	4	1.4%
	4	1.4%
-	3	1.1%
!	2	0.7%
Other values (3)	3	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1261	99.7%
None	4	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	189	15.0%
e	118	9.4%
a	87	6.9%
n	81	6.4%
t	79	6.3%
o	76	6.0%
i	66	5.2%
s	61	4.8%
r	58	4.6%
h	44	3.5%
Other values (46)	402	31.9%

None

Value	Count	Frequency (%)
	4	100.0%

rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	4
Distinct (%)	100.0%
Missing	79
Missing (%)	95.2%
Memory size	792.0 B

10.0	1
8.0	1
9.0	1
8.5	1

Length

Max length	4
Median length	3
Mean length	3.25
Min length	3

Characters and Unicode

Total characters	13
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	10.0
2nd row	8.0
3rd row	9.0
4th row	8.5

Common Values

Value	Count	Frequency (%)
10.0	1	1.2%
8.0	1	1.2%
9.0	1	1.2%
8.5	1	1.2%
(Missing)	79	95.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
10.0	1	25.0%
8.0	1	25.0%
9.0	1	25.0%
8.5	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
0	4	30.8%
.	4	30.8%
8	2	15.4%
1	1	7.7%
9	1	7.7%
5	1	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9	69.2%
Other Punctuation	4	30.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4	44.4%
8	2	22.2%
1	1	11.1%
9	1	11.1%
5	1	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4	30.8%
.	4	30.8%
8	2	15.4%
1	1	7.7%
9	1	7.7%
5	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4	30.8%
.	4	30.8%
8	2	15.4%
1	1	7.7%
9	1	7.7%
5	1	7.7%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	14
Distinct (%)	100.0%
Missing	69
Missing (%)	83.1%
Memory size	792.0 B

https://static.tvmaze.com/uploads/images/medium_landscape/290/726673.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/290/726355.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/288/721860.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/418/1047207.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/290/725070.jpg	1
Other values (9)	9

Length

Max length	73
Median length	72
Mean length	72.21428571
Min length	72

Characters and Unicode

Total characters	1011
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_landscape/290/726673.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_landscape/290/726355.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_landscape/288/721860.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_landscape/418/1047207.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_landscape/290/725070.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726673.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726355.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/288/721860.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/418/1047207.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725070.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/407/1018198.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725463.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725468.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/417/1044221.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725475.jpg	1	1.2%
Other values (4)	4	4.8%
(Missing)	69	83.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726673.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726355.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/288/721860.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/418/1047207.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725070.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/407/1018198.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725463.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725468.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/417/1044221.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725475.jpg	1	7.1%
Other values (4)	4	28.6%

Most occurring characters

Value	Count	Frequency (%)
/	98	9.7%
a	84	8.3%
s	70	6.9%
m	70	6.9%
t	70	6.9%
p	56	5.5%
e	56	5.5%
i	42	4.2%
c	42	4.2%
.	42	4.2%
Other values (22)	381	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	714	70.6%
Other Punctuation	154	15.2%
Decimal Number	129	12.8%
Connector Punctuation	14	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	84	11.8%
s	70	9.8%
m	70	9.8%
t	70	9.8%
p	56	7.8%
e	56	7.8%
i	42	5.9%
c	42	5.9%
d	42	5.9%
l	28	3.9%
Other values (8)	154	21.6%

Decimal Number

Value	Count	Frequency (%)
2	23	17.8%
7	20	15.5%
0	14	10.9%
8	13	10.1%
9	12	9.3%
1	11	8.5%
4	11	8.5%
5	9	7.0%
6	8	6.2%
3	8	6.2%

Other Punctuation

Value	Count	Frequency (%)
/	98	63.6%
.	42	27.3%
:	14	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	714	70.6%
Common	297	29.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	84	11.8%
s	70	9.8%
m	70	9.8%
t	70	9.8%
p	56	7.8%
e	56	7.8%
i	42	5.9%
c	42	5.9%
d	42	5.9%
l	28	3.9%
Other values (8)	154	21.6%

Common

Value	Count	Frequency (%)
/	98	33.0%
.	42	14.1%
2	23	7.7%
7	20	6.7%
0	14	4.7%
_	14	4.7%
:	14	4.7%
8	13	4.4%
9	12	4.0%
1	11	3.7%
Other values (4)	36	12.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1011	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	98	9.7%
a	84	8.3%
s	70	6.9%
m	70	6.9%
t	70	6.9%
p	56	5.5%
e	56	5.5%
i	42	4.2%
c	42	4.2%
.	42	4.2%
Other values (22)	381	37.7%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	14
Distinct (%)	100.0%
Missing	69
Missing (%)	83.1%
Memory size	792.0 B

https://static.tvmaze.com/uploads/images/original_untouched/290/726673.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/290/726355.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/288/721860.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/418/1047207.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/290/725070.jpg	1
Other values (9)	9

Length

Max length	75
Median length	74
Mean length	74.21428571
Min length	74

Characters and Unicode

Total characters	1039
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/290/726673.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/290/726355.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/288/721860.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/418/1047207.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/290/725070.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726673.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/726355.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/288/721860.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/418/1047207.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/725070.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/407/1018198.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/725463.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/725468.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/417/1044221.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/725475.jpg	1	1.2%
Other values (4)	4	4.8%
(Missing)	69	83.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726673.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/726355.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/288/721860.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/418/1047207.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/725070.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/407/1018198.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/725463.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/725468.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/417/1044221.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/725475.jpg	1	7.1%
Other values (4)	4	28.6%

Most occurring characters

Value	Count	Frequency (%)
/	98	9.4%
t	84	8.1%
a	70	6.7%
s	56	5.4%
i	56	5.4%
o	56	5.4%
p	42	4.0%
c	42	4.0%
.	42	4.0%
g	42	4.0%
Other values (23)	451	43.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	742	71.4%
Other Punctuation	154	14.8%
Decimal Number	129	12.4%
Connector Punctuation	14	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	84	11.3%
a	70	9.4%
s	56	7.5%
i	56	7.5%
o	56	7.5%
p	42	5.7%
c	42	5.7%
g	42	5.7%
m	42	5.7%
e	42	5.7%
Other values (9)	210	28.3%

Decimal Number

Value	Count	Frequency (%)
2	23	17.8%
7	20	15.5%
0	14	10.9%
8	13	10.1%
9	12	9.3%
1	11	8.5%
4	11	8.5%
5	9	7.0%
6	8	6.2%
3	8	6.2%

Other Punctuation

Value	Count	Frequency (%)
/	98	63.6%
.	42	27.3%
:	14	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	742	71.4%
Common	297	28.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	84	11.3%
a	70	9.4%
s	56	7.5%
i	56	7.5%
o	56	7.5%
p	42	5.7%
c	42	5.7%
g	42	5.7%
m	42	5.7%
e	42	5.7%
Other values (9)	210	28.3%

Common

Value	Count	Frequency (%)
/	98	33.0%
.	42	14.1%
2	23	7.7%
7	20	6.7%
:	14	4.7%
_	14	4.7%
0	14	4.7%
8	13	4.4%
9	12	4.0%
1	11	3.7%
Other values (4)	36	12.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1039	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	98	9.4%
t	84	8.1%
a	70	6.7%
s	56	5.4%
i	56	5.4%
o	56	5.4%
p	42	4.0%
c	42	4.0%
.	42	4.0%
g	42	4.0%
Other values (23)	451	43.4%

_links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	83
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

https://api.tvmaze.com/episodes/1977899	1
https://api.tvmaze.com/episodes/1998542	1
https://api.tvmaze.com/episodes/1993817	1
https://api.tvmaze.com/episodes/1993816	1
https://api.tvmaze.com/episodes/1993815	1
Other values (78)	78

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3237
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977899
2nd row	https://api.tvmaze.com/episodes/2164195
3rd row	https://api.tvmaze.com/episodes/1982407
4th row	https://api.tvmaze.com/episodes/1982408
5th row	https://api.tvmaze.com/episodes/1988014

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977899	1	1.2%
https://api.tvmaze.com/episodes/1998542	1	1.2%
https://api.tvmaze.com/episodes/1993817	1	1.2%
https://api.tvmaze.com/episodes/1993816	1	1.2%
https://api.tvmaze.com/episodes/1993815	1	1.2%
https://api.tvmaze.com/episodes/1993814	1	1.2%
https://api.tvmaze.com/episodes/1993813	1	1.2%
https://api.tvmaze.com/episodes/1993812	1	1.2%
https://api.tvmaze.com/episodes/1993811	1	1.2%
https://api.tvmaze.com/episodes/1993810	1	1.2%
Other values (73)	73	88.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977899	1	1.2%
https://api.tvmaze.com/episodes/1972059	1	1.2%
https://api.tvmaze.com/episodes/1982407	1	1.2%
https://api.tvmaze.com/episodes/1982408	1	1.2%
https://api.tvmaze.com/episodes/1988014	1	1.2%
https://api.tvmaze.com/episodes/2062926	1	1.2%
https://api.tvmaze.com/episodes/2062927	1	1.2%
https://api.tvmaze.com/episodes/2062928	1	1.2%
https://api.tvmaze.com/episodes/2140388	1	1.2%
https://api.tvmaze.com/episodes/2353914	1	1.2%
Other values (73)	73	88.0%

Most occurring characters

Value	Count	Frequency (%)
/	332	10.3%
p	249	7.7%
s	249	7.7%
e	249	7.7%
t	249	7.7%
o	166	5.1%
a	166	5.1%
i	166	5.1%
.	166	5.1%
m	166	5.1%
Other values (16)	1079	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2075	64.1%
Other Punctuation	581	17.9%
Decimal Number	581	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	249	12.0%
s	249	12.0%
e	249	12.0%
t	249	12.0%
o	166	8.0%
a	166	8.0%
i	166	8.0%
m	166	8.0%
h	83	4.0%
d	83	4.0%
Other values (3)	249	12.0%

Decimal Number

Value	Count	Frequency (%)
9	109	18.8%
1	97	16.7%
8	69	11.9%
2	60	10.3%
7	52	9.0%
3	52	9.0%
0	43	7.4%
4	39	6.7%
6	33	5.7%
5	27	4.6%

Other Punctuation

Value	Count	Frequency (%)
/	332	57.1%
.	166	28.6%
:	83	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2075	64.1%
Common	1162	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	332	28.6%
.	166	14.3%
9	109	9.4%
1	97	8.3%
:	83	7.1%
8	69	5.9%
2	60	5.2%
7	52	4.5%
3	52	4.5%
0	43	3.7%
Other values (3)	99	8.5%

Latin

Value	Count	Frequency (%)
p	249	12.0%
s	249	12.0%
e	249	12.0%
t	249	12.0%
o	166	8.0%
a	166	8.0%
i	166	8.0%
m	166	8.0%
h	83	4.0%
d	83	4.0%
Other values (3)	249	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3237	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	332	10.3%
p	249	7.7%
s	249	7.7%
e	249	7.7%
t	249	7.7%
o	166	5.1%
a	166	5.1%
i	166	5.1%
.	166	5.1%
m	166	5.1%
Other values (16)	1079	33.3%

_embedded.show.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	67.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44844.14458

Minimum	802
Maximum	63310
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	802
5-th percentile	6147
Q1	44736.5
median	52479
Q3	52655
95-th percentile	59481.6
Maximum	63310
Range	62508
Interquartile range (IQR)	7918.5

Descriptive statistics

Standard deviation	16372.02223
Coefficient of variation (CV)	0.3650871789
Kurtosis	1.133158404
Mean	44844.14458
Median Absolute Deviation (MAD)	2283
Skewness	-1.549344993
Sum	3722064
Variance	268043112
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52655	12	14.5%
52479	5	6.0%
54541	3	3.6%
52181	2	2.4%
52159	2	2.4%
52104	2	2.4%
62764	2	2.4%
52898	2	2.4%
52524	2	2.4%
54762	2	2.4%
Other values (46)	49	59.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
802	1	1.2%
2504	1	1.2%
6090	1	1.2%
6146	1	1.2%
6147	2	2.4%
7241	1	1.2%
9815	1	1.2%
15250	2	2.4%
17584	1	1.2%
18971	1	1.2%

Value	Count	Frequency (%)
63310	1	1.2%
62764	2	2.4%
61755	1	1.2%
59555	1	1.2%
58821	1	1.2%
58426	1	1.2%
58367	1	1.2%
57009	1	1.2%
56655	1	1.2%
54762	2	2.4%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	56
Distinct (%)	67.5%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

https://www.tvmaze.com/shows/52655/the-case-solver	12
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5
https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	3
https://www.tvmaze.com/shows/52181/volk	2
https://www.tvmaze.com/shows/52159/to-love	2
Other values (51)	59

Length

Max length	67
Median length	61
Mean length	51.10843373
Min length	39

Characters and Unicode

Total characters	4242
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	51.8%

Sample

1st row	https://www.tvmaze.com/shows/39115/obycnaa-zensina
2nd row	https://www.tvmaze.com/shows/48683/ispoved
3rd row	https://www.tvmaze.com/shows/52181/volk
4th row	https://www.tvmaze.com/shows/52181/volk
5th row	https://www.tvmaze.com/shows/52520/muzskaa-tema

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52655/the-case-solver	12	14.5%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5	6.0%
https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	3	3.6%
https://www.tvmaze.com/shows/52181/volk	2	2.4%
https://www.tvmaze.com/shows/52159/to-love	2	2.4%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.4%
https://www.tvmaze.com/shows/62764/300-year-old-class-of-2020	2	2.4%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian	2	2.4%
https://www.tvmaze.com/shows/52524/forever-love	2	2.4%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2	2.4%
Other values (46)	49	59.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52655/the-case-solver	12	14.5%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss	5	6.0%
https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	3	3.6%
https://www.tvmaze.com/shows/52524/forever-love	2	2.4%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.4%
https://www.tvmaze.com/shows/52781/love-script	2	2.4%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2	2.4%
https://www.tvmaze.com/shows/6147/rooster-teeth-animated-adventures	2	2.4%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian	2	2.4%
https://www.tvmaze.com/shows/62764/300-year-old-class-of-2020	2	2.4%
Other values (46)	49	59.0%

Most occurring characters

Value	Count	Frequency (%)
/	415	9.8%
t	355	8.4%
w	351	8.3%
s	341	8.0%
o	258	6.1%
e	249	5.9%
h	215	5.1%
m	191	4.5%
a	178	4.2%
-	168	4.0%
Other values (30)	1521	35.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2988	70.4%
Other Punctuation	664	15.7%
Decimal Number	422	9.9%
Dash Punctuation	168	4.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	355	11.9%
w	351	11.7%
s	341	11.4%
o	258	8.6%
e	249	8.3%
h	215	7.2%
m	191	6.4%
a	178	6.0%
v	117	3.9%
c	116	3.9%
Other values (16)	617	20.6%

Decimal Number

Value	Count	Frequency (%)
5	104	24.6%
2	61	14.5%
4	50	11.8%
6	45	10.7%
1	42	10.0%
0	30	7.1%
7	27	6.4%
9	24	5.7%
8	24	5.7%
3	15	3.6%

Other Punctuation

Value	Count	Frequency (%)
/	415	62.5%
.	166	25.0%
:	83	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2988	70.4%
Common	1254	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	355	11.9%
w	351	11.7%
s	341	11.4%
o	258	8.6%
e	249	8.3%
h	215	7.2%
m	191	6.4%
a	178	6.0%
v	117	3.9%
c	116	3.9%
Other values (16)	617	20.6%

Common

Value	Count	Frequency (%)
/	415	33.1%
-	168	13.4%
.	166	13.2%
5	104	8.3%
:	83	6.6%
2	61	4.9%
4	50	4.0%
6	45	3.6%
1	42	3.3%
0	30	2.4%
Other values (4)	90	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4242	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	415	9.8%
t	355	8.4%
w	351	8.3%
s	341	8.0%
o	258	6.1%
e	249	5.9%
h	215	5.1%
m	191	4.5%
a	178	4.2%
-	168	4.0%
Other values (30)	1521	35.9%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	56
Distinct (%)	67.5%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

The Case Solver	12
Beauty and the Boss	5
God of Ten Thousand Realms	3
Волк	2
To Love	2
Other values (51)	59

Length

Max length	33
Median length	26
Mean length	16.31325301
Min length	4

Characters and Unicode

Total characters	1354
Distinct characters	90
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	51.8%

Sample

1st row	Обычная женщина
2nd row	Исповедь
3rd row	Волк
4th row	Волк
5th row	Мужская тема

Common Values

Value	Count	Frequency (%)
The Case Solver	12	14.5%
Beauty and the Boss	5	6.0%
God of Ten Thousand Realms	3	3.6%
Волк	2	2.4%
To Love	2	2.4%
Twisted Fate of Love	2	2.4%
300 Year-Old Class of 2020	2	2.4%
Legend of Yun Qian	2	2.4%
Forever Love	2	2.4%
Youths in the Breeze	2	2.4%
Other values (46)	49	59.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	25	10.0%
of	13	5.2%
case	12	4.8%
solver	12	4.8%
love	8	3.2%
and	6	2.4%
beauty	5	2.0%
boss	5	2.0%
ten	4	1.6%
god	3	1.2%
Other values (123)	157	62.8%

Most occurring characters

Value	Count	Frequency (%)
	167	12.3%
e	153	11.3%
o	77	5.7%
a	71	5.2%
s	63	4.7%
t	59	4.4%
n	56	4.1%
r	52	3.8%
h	47	3.5%
T	43	3.2%
Other values (80)	566	41.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	927	68.5%
Uppercase Letter	236	17.4%
Space Separator	167	12.3%
Decimal Number	16	1.2%
Other Punctuation	6	0.4%
Dash Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	153	16.5%
o	77	8.3%
a	71	7.7%
s	63	6.8%
t	59	6.4%
n	56	6.0%
r	52	5.6%
h	47	5.1%
d	43	4.6%
i	41	4.4%
Other values (40)	265	28.6%

Uppercase Letter

Value	Count	Frequency (%)
T	43	18.2%
S	24	10.2%
C	19	8.1%
B	17	7.2%
R	16	6.8%
A	13	5.5%
L	13	5.5%
M	11	4.7%
W	11	4.7%
Y	9	3.8%
Other values (21)	60	25.4%

Other Punctuation

Value	Count	Frequency (%)
.	2	33.3%
'	2	33.3%
/	1	16.7%
,	1	16.7%

Decimal Number

Value	Count	Frequency (%)
0	9	56.2%
2	4	25.0%
3	3	18.8%

Space Separator

Value	Count	Frequency (%)
	167	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1072	79.2%
Common	191	14.1%
Cyrillic	91	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	153	14.3%
o	77	7.2%
a	71	6.6%
s	63	5.9%
t	59	5.5%
n	56	5.2%
r	52	4.9%
h	47	4.4%
T	43	4.0%
d	43	4.0%
Other values (41)	408	38.1%

Cyrillic

Value	Count	Frequency (%)
н	8	8.8%
е	8	8.8%
а	8	8.8%
о	6	6.6%
к	5	5.5%
и	5	5.5%
т	4	4.4%
В	4	4.4%
п	4	4.4%
я	3	3.3%
Other values (20)	36	39.6%

Common

Value	Count	Frequency (%)
	167	87.4%
0	9	4.7%
2	4	2.1%
3	3	1.6%
.	2	1.0%
-	2	1.0%
'	2	1.0%
/	1	0.5%
,	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1261	93.1%
Cyrillic	91	6.7%
None	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	167	13.2%
e	153	12.1%
o	77	6.1%
a	71	5.6%
s	63	5.0%
t	59	4.7%
n	56	4.4%
r	52	4.1%
h	47	3.7%
T	43	3.4%
Other values (48)	473	37.5%

Cyrillic

Value	Count	Frequency (%)
н	8	8.8%
е	8	8.8%
а	8	8.8%
о	6	6.6%
к	5	5.5%
и	5	5.5%
т	4	4.4%
В	4	4.4%
п	4	4.4%
я	3	3.3%
Other values (20)	36	39.6%

None

Value	Count	Frequency (%)
ø	1	50.0%
Ç	1	50.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

Scripted	50
Talk Show	9
Animation	7
Reality	6
Documentary	3
Other values (4)	8

Length

Max length	11
Median length	8
Mean length	8.024096386
Min length	4

Characters and Unicode

Total characters	666
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	Scripted
2nd row	Documentary
3rd row	Scripted
4th row	Scripted
5th row	Talk Show

Common Values

Value	Count	Frequency (%)
Scripted	50	60.2%
Talk Show	9	10.8%
Animation	7	8.4%
Reality	6	7.2%
Documentary	3	3.6%
News	3	3.6%
Variety	2	2.4%
Sports	2	2.4%
Game Show	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	50	53.8%
show	10	10.8%
talk	9	9.7%
animation	7	7.5%
reality	6	6.5%
documentary	3	3.2%
news	3	3.2%
variety	2	2.2%
sports	2	2.2%
game	1	1.1%

Most occurring characters

Value	Count	Frequency (%)
i	72	10.8%
t	70	10.5%
e	65	9.8%
S	62	9.3%
r	57	8.6%
c	53	8.0%
p	52	7.8%
d	50	7.5%
a	28	4.2%
o	22	3.3%
Other values (17)	135	20.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	563	84.5%
Uppercase Letter	93	14.0%
Space Separator	10	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	72	12.8%
t	70	12.4%
e	65	11.5%
r	57	10.1%
c	53	9.4%
p	52	9.2%
d	50	8.9%
a	28	5.0%
o	22	3.9%
n	17	3.0%
Other values (8)	77	13.7%

Uppercase Letter

Value	Count	Frequency (%)
S	62	66.7%
T	9	9.7%
A	7	7.5%
R	6	6.5%
D	3	3.2%
N	3	3.2%
V	2	2.2%
G	1	1.1%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	656	98.5%
Common	10	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	72	11.0%
t	70	10.7%
e	65	9.9%
S	62	9.5%
r	57	8.7%
c	53	8.1%
p	52	7.9%
d	50	7.6%
a	28	4.3%
o	22	3.4%
Other values (16)	125	19.1%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	666	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	72	10.8%
t	70	10.5%
e	65	9.8%
S	62	9.3%
r	57	8.6%
c	53	8.0%
p	52	7.8%
d	50	7.5%
a	28	4.2%
o	22	3.3%
Other values (17)	135	20.3%

_embedded.show.language
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	18.3%
Missing	1
Missing (%)	1.2%
Memory size	792.0 B

Chinese	33
English	19
Russian	9
Korean	5
Norwegian	4
Other values (10)	12

Length

Max length	10
Median length	7
Mean length	6.963414634
Min length	4

Characters and Unicode

Total characters	571
Distinct characters	30
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	9.8%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
Chinese	33	39.8%
English	19	22.9%
Russian	9	10.8%
Korean	5	6.0%
Norwegian	4	4.8%
Thai	2	2.4%
Tagalog	2	2.4%
Japanese	1	1.2%
Polish	1	1.2%
Spanish	1	1.2%
Other values (5)	5	6.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	33	40.2%
english	19	23.2%
russian	9	11.0%
korean	5	6.1%
norwegian	4	4.9%
thai	2	2.4%
tagalog	2	2.4%
japanese	1	1.2%
polish	1	1.2%
spanish	1	1.2%
Other values (5)	5	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	77	13.5%
n	75	13.1%
i	74	13.0%
s	74	13.0%
h	59	10.3%
C	33	5.8%
a	32	5.6%
g	27	4.7%
l	22	3.9%
E	19	3.3%
Other values (20)	79	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	489	85.6%
Uppercase Letter	82	14.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	77	15.7%
n	75	15.3%
i	74	15.1%
s	74	15.1%
h	59	12.1%
a	32	6.5%
g	27	5.5%
l	22	4.5%
u	12	2.5%
o	12	2.5%
Other values (8)	25	5.1%

Uppercase Letter

Value	Count	Frequency (%)
C	33	40.2%
E	19	23.2%
R	9	11.0%
T	5	6.1%
K	5	6.1%
N	4	4.9%
L	2	2.4%
J	1	1.2%
P	1	1.2%
S	1	1.2%
Other values (2)	2	2.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	571	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	77	13.5%
n	75	13.1%
i	74	13.0%
s	74	13.0%
h	59	10.3%
C	33	5.8%
a	32	5.6%
g	27	4.7%
l	22	3.9%
E	19	3.3%
Other values (20)	79	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	77	13.5%
n	75	13.1%
i	74	13.0%
s	74	13.0%
h	59	10.3%
C	33	5.8%
a	32	5.6%
g	27	4.7%
l	22	3.9%
E	19	3.3%
Other values (20)	79	13.8%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	792.0 B

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

Ended	46
Running	32
To Be Determined	5

Length

Max length	16
Median length	5
Mean length	6.43373494
Min length	5

Characters and Unicode

Total characters	534
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Ended
3rd row	Ended
4th row	Ended
5th row	Ended

Common Values

Value	Count	Frequency (%)
Ended	46	55.4%
Running	32	38.6%
To Be Determined	5	6.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	46	49.5%
running	32	34.4%
to	5	5.4%
be	5	5.4%
determined	5	5.4%

Most occurring characters

Value	Count	Frequency (%)
n	147	27.5%
d	97	18.2%
e	66	12.4%
E	46	8.6%
i	37	6.9%
R	32	6.0%
u	32	6.0%
g	32	6.0%
	10	1.9%
T	5	0.9%
Other values (6)	30	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	431	80.7%
Uppercase Letter	93	17.4%
Space Separator	10	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	147	34.1%
d	97	22.5%
e	66	15.3%
i	37	8.6%
u	32	7.4%
g	32	7.4%
o	5	1.2%
t	5	1.2%
r	5	1.2%
m	5	1.2%

Uppercase Letter

Value	Count	Frequency (%)
E	46	49.5%
R	32	34.4%
T	5	5.4%
B	5	5.4%
D	5	5.4%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	524	98.1%
Common	10	1.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	147	28.1%
d	97	18.5%
e	66	12.6%
E	46	8.8%
i	37	7.1%
R	32	6.1%
u	32	6.1%
g	32	6.1%
T	5	1.0%
o	5	1.0%
Other values (5)	25	4.8%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	534	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	147	27.5%
d	97	18.2%
e	66	12.4%
E	46	8.6%
i	37	6.9%
R	32	6.0%
u	32	6.0%
g	32	6.0%
	10	1.9%
T	5	0.9%
Other values (6)	30	5.6%

_embedded.show.runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	29.7%
Missing	9
Missing (%)	10.8%
Infinite	0
Infinite (%)	0.0%
Mean	39.75675676

Minimum	2
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	2
5-th percentile	4.65
Q1	20
median	34
Q3	49.5
95-th percentile	120
Maximum	180
Range	178
Interquartile range (IQR)	29.5

Descriptive statistics

Standard deviation	33.53706223
Coefficient of variation (CV)	0.8435562898
Kurtosis	4.491310929
Mean	39.75675676
Median Absolute Deviation (MAD)	15
Skewness	1.897165363
Sum	2942
Variance	1124.734543
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
34	12	14.5%
45	9	10.8%
30	8	9.6%
60	7	8.4%
7	5	6.0%
10	4	4.8%
20	4	4.8%
120	4	4.8%
50	3	3.6%
2	2	2.4%
Other values (12)	16	19.3%
(Missing)	9	10.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.4%
4	2	2.4%
5	2	2.4%
7	5	6.0%
10	4	4.8%
12	1	1.2%
15	2	2.4%
20	4	4.8%
22	1	1.2%
23	1	1.2%

Value	Count	Frequency (%)
180	1	1.2%
130	1	1.2%
120	4	4.8%
90	1	1.2%
60	7	8.4%
51	2	2.4%
50	3	3.6%
48	1	1.2%
45	9	10.8%
34	12	14.5%

_embedded.show.averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	32.9%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	36.80487805

Minimum	2
Maximum	181
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	15
median	30
Q3	45
95-th percentile	118.9
Maximum	181
Range	179
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	32.33407369
Coefficient of variation (CV)	0.8785268532
Kurtosis	5.335767185
Mean	36.80487805
Median Absolute Deviation (MAD)	15
Skewness	2.053397468
Sum	3018
Variance	1045.492322
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
30	19	22.9%
45	9	10.8%
60	6	7.2%
7	5	6.0%
15	4	4.8%
10	4	4.8%
20	4	4.8%
25	4	4.8%
50	3	3.6%
120	3	3.6%
Other values (17)	21	25.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.4%
4	2	2.4%
5	2	2.4%
7	5	6.0%
9	1	1.2%
10	4	4.8%
11	1	1.2%
12	2	2.4%
14	1	1.2%
15	4	4.8%

Value	Count	Frequency (%)
181	1	1.2%
130	1	1.2%
120	3	3.6%
98	1	1.2%
90	1	1.2%
77	1	1.2%
60	6	7.2%
50	3	3.6%
48	1	1.2%
47	1	1.2%

_embedded.show.premiered
Categorical

HIGH CORRELATION

Distinct	45
Distinct (%)	54.2%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

2020-12-21	21
2020-12-14	8
2020-12-07	4
2020-11-23	3
2011-09-28	2
Other values (40)	45

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	830
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	42.2%

Sample

1st row	2018-10-29
2nd row	2020-05-11
3rd row	2020-12-07
4th row	2020-12-07
5th row	2020-12-17

Common Values

Value	Count	Frequency (%)
2020-12-21	21	25.3%
2020-12-14	8	9.6%
2020-12-07	4	4.8%
2020-11-23	3	3.6%
2011-09-28	2	2.4%
2020-11-19	2	2.4%
2020-12-20	2	2.4%
2013-12-24	2	2.4%
2020-11-30	2	2.4%
2020-12-13	2	2.4%
Other values (35)	35	42.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-21	21	25.3%
2020-12-14	8	9.6%
2020-12-07	4	4.8%
2020-11-23	3	3.6%
2013-12-24	2	2.4%
2020-12-13	2	2.4%
2020-11-30	2	2.4%
2020-12-20	2	2.4%
2020-11-19	2	2.4%
2011-09-28	2	2.4%
Other values (35)	35	42.2%

Most occurring characters

Value	Count	Frequency (%)
2	219	26.4%
0	195	23.5%
-	166	20.0%
1	155	18.7%
9	21	2.5%
4	18	2.2%
3	17	2.0%
7	12	1.4%
8	12	1.4%
5	9	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	664	80.0%
Dash Punctuation	166	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	219	33.0%
0	195	29.4%
1	155	23.3%
9	21	3.2%
4	18	2.7%
3	17	2.6%
7	12	1.8%
8	12	1.8%
5	9	1.4%
6	6	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	166	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	830	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	219	26.4%
0	195	23.5%
-	166	20.0%
1	155	18.7%
9	21	2.5%
4	18	2.2%
3	17	2.0%
7	12	1.4%
8	12	1.4%
5	9	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	830	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	219	26.4%
0	195	23.5%
-	166	20.0%
1	155	18.7%
9	21	2.5%
4	18	2.2%
3	17	2.0%
7	12	1.4%
8	12	1.4%
5	9	1.1%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	39.1%
Missing	37
Missing (%)	44.6%
Memory size	792.0 B

2022-05-02	12
2021-01-18	7
2020-12-28	5
2021-01-25	3
2020-12-31	2
Other values (13)	17

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	460
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	19.6%

Sample

1st row	2021-01-07
2nd row	2022-08-30
3rd row	2020-12-28
4th row	2020-12-28
5th row	2020-12-25

Common Values

Value	Count	Frequency (%)
2022-05-02	12	14.5%
2021-01-18	7	8.4%
2020-12-28	5	6.0%
2021-01-25	3	3.6%
2020-12-31	2	2.4%
2020-12-22	2	2.4%
2021-01-05	2	2.4%
2020-12-30	2	2.4%
2020-12-23	2	2.4%
2021-01-07	1	1.2%
Other values (8)	8	9.6%
(Missing)	37	44.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2022-05-02	12	26.1%
2021-01-18	7	15.2%
2020-12-28	5	10.9%
2021-01-25	3	6.5%
2020-12-31	2	4.3%
2020-12-22	2	4.3%
2021-01-05	2	4.3%
2020-12-30	2	4.3%
2020-12-23	2	4.3%
2021-02-22	1	2.2%
Other values (8)	8	17.4%

Most occurring characters

Value	Count	Frequency (%)
2	156	33.9%
0	112	24.3%
-	92	20.0%
1	56	12.2%
5	18	3.9%
8	13	2.8%
3	7	1.5%
6	3	0.7%
7	2	0.4%
4	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	368	80.0%
Dash Punctuation	92	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	156	42.4%
0	112	30.4%
1	56	15.2%
5	18	4.9%
8	13	3.5%
3	7	1.9%
6	3	0.8%
7	2	0.5%
4	1	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	92	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	460	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	156	33.9%
0	112	24.3%
-	92	20.0%
1	56	12.2%
5	18	3.9%
8	13	2.8%
3	7	1.5%
6	3	0.7%
7	2	0.4%
4	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	156	33.9%
0	112	24.3%
-	92	20.0%
1	56	12.2%
5	18	3.9%
8	13	2.8%
3	7	1.5%
6	3	0.7%
7	2	0.4%
4	1	0.2%

_embedded.show.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	67.6%
Missing	9
Missing (%)	10.8%
Memory size	792.0 B

https://www.iqiyi.com/a_c4m3iuc94t.html	12
https://programme.mytvsuper.com/tc/130336/	5
https://v.qq.com/detail/m/mzc002007995z4v.html	3
https://premier.one/show/12339	2
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2
Other values (45)	50

Length

Max length	105
Median length	77
Mean length	49.10810811
Min length	18

Characters and Unicode

Total characters	3634
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	40 ?
Unique (%)	54.1%

Sample

1st row	https://premier.one/show/8405
2nd row	https://premier.one/collections/134
3rd row	https://premier.one/show/12339
4th row	https://premier.one/show/12339
5th row	https://www.ivi.ru/watch/muzhskaya-tema

Common Values

Value	Count	Frequency (%)
https://www.iqiyi.com/a_c4m3iuc94t.html	12	14.5%
https://programme.mytvsuper.com/tc/130336/	5	6.0%
https://v.qq.com/detail/m/mzc002007995z4v.html	3	3.6%
https://premier.one/show/12339	2	2.4%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2	2.4%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.4%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	2.4%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.4%
https://www.tytnetwork.com	2	2.4%
https://roosterteeth.com/series/rt-animated-adventures	2	2.4%
Other values (40)	40	48.2%
(Missing)	9	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.iqiyi.com/a_c4m3iuc94t.html	12	16.2%
https://programme.mytvsuper.com/tc/130336	5	6.8%
https://v.qq.com/detail/m/mzc002007995z4v.html	3	4.1%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	2.7%
https://www.tytnetwork.com	2	2.7%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.7%
https://roosterteeth.com/series/rt-animated-adventures	2	2.7%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.7%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.7%
https://premier.one/show/12339	2	2.7%
Other values (40)	40	54.1%

Most occurring characters

Value	Count	Frequency (%)
t	297	8.2%
/	295	8.1%
s	164	4.5%
e	161	4.4%
.	159	4.4%
o	153	4.2%
h	148	4.1%
m	144	4.0%
w	137	3.8%
c	129	3.5%
Other values (64)	1847	50.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2342	64.4%
Other Punctuation	609	16.8%
Decimal Number	401	11.0%
Uppercase Letter	188	5.2%
Dash Punctuation	44	1.2%
Connector Punctuation	25	0.7%
Math Symbol	25	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	297	12.7%
s	164	7.0%
e	161	6.9%
o	153	6.5%
h	148	6.3%
m	144	6.1%
w	137	5.8%
c	129	5.5%
p	119	5.1%
i	119	5.1%
Other values (16)	771	32.9%

Uppercase Letter

Value	Count	Frequency (%)
E	21	11.2%
C	14	7.4%
B	14	7.4%
P	13	6.9%
U	12	6.4%
D	11	5.9%
A	10	5.3%
T	9	4.8%
M	9	4.8%
J	8	4.3%
Other values (15)	67	35.6%

Decimal Number

Value	Count	Frequency (%)
4	63	15.7%
3	54	13.5%
0	53	13.2%
9	46	11.5%
1	45	11.2%
2	35	8.7%
5	33	8.2%
8	26	6.5%
6	24	6.0%
7	22	5.5%

Other Punctuation

Value	Count	Frequency (%)
/	295	48.4%
.	159	26.1%
:	74	12.2%
%	57	9.4%
?	11	1.8%
&	8	1.3%
,	3	0.5%
#	1	0.2%
!	1	0.2%

Math Symbol

Value	Count	Frequency (%)
=	23	92.0%
+	2	8.0%

Dash Punctuation

Value	Count	Frequency (%)
-	44	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2530	69.6%
Common	1104	30.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	297	11.7%
s	164	6.5%
e	161	6.4%
o	153	6.0%
h	148	5.8%
m	144	5.7%
w	137	5.4%
c	129	5.1%
p	119	4.7%
i	119	4.7%
Other values (41)	959	37.9%

Common

Value	Count	Frequency (%)
/	295	26.7%
.	159	14.4%
:	74	6.7%
4	63	5.7%
%	57	5.2%
3	54	4.9%
0	53	4.8%
9	46	4.2%
1	45	4.1%
-	44	4.0%
Other values (13)	214	19.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3634	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	297	8.2%
/	295	8.1%
s	164	4.5%
e	161	4.4%
.	159	4.4%
o	153	4.2%
h	148	4.1%
m	144	4.0%
w	137	3.8%
c	129	3.5%
Other values (64)	1847	50.8%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	13.3%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

	53
20:00	15
10:00	4
19:00	3
12:00	2
Other values (6)	6

Length

Max length	5
Median length	0
Mean length	1.807228916
Min length	0

Characters and Unicode

Total characters	150
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	7.2%

Sample

1st row	22:00
2nd row	12:00
3rd row
4th row
5th row	12:00

Common Values

Value	Count	Frequency (%)
	53	63.9%
20:00	15	18.1%
10:00	4	4.8%
19:00	3	3.6%
12:00	2	2.4%
22:00	1	1.2%
08:00	1	1.2%
06:00	1	1.2%
20:45	1	1.2%
00:00	1	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	15	50.0%
10:00	4	13.3%
19:00	3	10.0%
12:00	2	6.7%
22:00	1	3.3%
08:00	1	3.3%
06:00	1	3.3%
20:45	1	3.3%
00:00	1	3.3%
21:00	1	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	82	54.7%
:	30	20.0%
2	21	14.0%
1	10	6.7%
9	3	2.0%
8	1	0.7%
6	1	0.7%
4	1	0.7%
5	1	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120	80.0%
Other Punctuation	30	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	82	68.3%
2	21	17.5%
1	10	8.3%
9	3	2.5%
8	1	0.8%
6	1	0.8%
4	1	0.8%
5	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
:	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	150	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	82	54.7%
:	30	20.0%
2	21	14.0%
1	10	6.7%
9	3	2.0%
8	1	0.7%
6	1	0.7%
4	1	0.7%
5	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	82	54.7%
:	30	20.0%
2	21	14.0%
1	10	6.7%
9	3	2.0%
8	1	0.7%
6	1	0.7%
4	1	0.7%
5	1	0.7%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	792.0 B

_embedded.show.rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	83.3%
Missing	77
Missing (%)	92.8%
Memory size	792.0 B

7.2	2
7.7	1
7.3	1
7.6	1
7.5	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	66.7%

Sample

1st row	7.7
2nd row	7.3
3rd row	7.2
4th row	7.2
5th row	7.6

Common Values

Value	Count	Frequency (%)
7.2	2	2.4%
7.7	1	1.2%
7.3	1	1.2%
7.6	1	1.2%
7.5	1	1.2%
(Missing)	77	92.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
7.2	2	33.3%
7.7	1	16.7%
7.3	1	16.7%
7.6	1	16.7%
7.5	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
7	7	38.9%
.	6	33.3%
2	2	11.1%
3	1	5.6%
6	1	5.6%
5	1	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12	66.7%
Other Punctuation	6	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	7	58.3%
2	2	16.7%
3	1	8.3%
6	1	8.3%
5	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	7	38.9%
.	6	33.3%
2	2	11.1%
3	1	5.6%
6	1	5.6%
5	1	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	7	38.9%
.	6	33.3%
2	2	11.1%
3	1	5.6%
6	1	5.6%
5	1	5.6%

_embedded.show.weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	48.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.3373494

Minimum	1
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	1
5-th percentile	8
Q1	21
median	30
Q3	35
95-th percentile	82.8
Maximum	95
Range	94
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	21.75040067
Coefficient of variation (CV)	0.6334327214
Kurtosis	0.7958493181
Mean	34.3373494
Median Absolute Deviation (MAD)	9
Skewness	1.192395464
Sum	2850
Variance	473.0799295
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
34	16	19.3%
21	9	10.8%
24	4	4.8%
27	4	4.8%
36	3	3.6%
30	3	3.6%
28	3	3.6%
33	2	2.4%
83	2	2.4%
15	2	2.4%
Other values (30)	35	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	1.2%
3	1	1.2%
5	1	1.2%
7	1	1.2%
8	2	2.4%
9	1	1.2%
12	1	1.2%
13	2	2.4%
15	2	2.4%
16	2	2.4%

Value	Count	Frequency (%)
95	1	1.2%
88	1	1.2%
84	1	1.2%
83	2	2.4%
81	1	1.2%
80	1	1.2%
79	1	1.2%
75	1	1.2%
72	1	1.2%
69	1	1.2%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83
Missing (%)	100.0%
Memory size	792.0 B

_embedded.show.webChannel.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	34.6%
Missing	2
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	151.308642

Minimum	15
Maximum	518
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	15
5-th percentile	21
Q1	30
median	104
Q3	262
95-th percentile	445
Maximum	518
Range	503
Interquartile range (IQR)	232

Descriptive statistics

Standard deviation	146.1842709
Coefficient of variation (CV)	0.9661329912
Kurtosis	0.1127064971
Mean	151.308642
Median Absolute Deviation (MAD)	83
Skewness	1.095831973
Sum	12256
Variance	21369.84105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
21	17	20.5%
67	12	14.5%
104	8	9.6%
262	5	6.0%
281	4	4.8%
118	4	4.8%
30	3	3.6%
32	3	3.6%
15	2	2.4%
518	2	2.4%
Other values (18)	21	25.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	2	2.4%
21	17	20.5%
30	3	3.6%
32	3	3.6%
40	1	1.2%
67	12	14.5%
102	1	1.2%
104	8	9.6%
118	4	4.8%
122	1	1.2%

Value	Count	Frequency (%)
518	2	2.4%
516	1	1.2%
493	1	1.2%
445	2	2.4%
414	1	1.2%
413	1	1.2%
379	1	1.2%
367	1	1.2%
337	1	1.2%
327	2	2.4%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	34.6%
Missing	2
Missing (%)	2.4%
Memory size	792.0 B

YouTube	17
iQIYI	12
Tencent QQ	8
myTV SUPER	5
Premier	4
Other values (23)	35

Length

Max length	20
Median length	13
Mean length	7.654320988
Min length	3

Characters and Unicode

Total characters	620
Distinct characters	45
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	18.5%

Sample

1st row	Premier
2nd row	Premier
3rd row	Premier
4th row	Premier
5th row	ivi

Common Values

Value	Count	Frequency (%)
YouTube	17	20.5%
iQIYI	12	14.5%
Tencent QQ	8	9.6%
myTV SUPER	5	6.0%
Premier	4	4.8%
Youku	4	4.8%
Naver TVCast	3	3.6%
Rooster Teeth	3	3.6%
WWE Network	2	2.4%
Go3	2	2.4%
Other values (18)	21	25.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
youtube	17	14.5%
iqiyi	12	10.3%
tv	8	6.8%
tencent	8	6.8%
qq	8	6.8%
mytv	5	4.3%
super	5	4.3%
premier	4	3.4%
youku	4	3.4%
naver	3	2.6%
Other values (29)	43	36.8%

Most occurring characters

Value	Count	Frequency (%)
e	64	10.3%
T	49	7.9%
u	45	7.3%
o	40	6.5%
	36	5.8%
Y	33	5.3%
Q	28	4.5%
I	27	4.4%
t	24	3.9%
i	23	3.7%
Other values (35)	251	40.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	348	56.1%
Uppercase Letter	231	37.3%
Space Separator	36	5.8%
Decimal Number	4	0.6%
Math Symbol	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	64	18.4%
u	45	12.9%
o	40	11.5%
t	24	6.9%
i	23	6.6%
r	20	5.7%
n	19	5.5%
b	18	5.2%
a	16	4.6%
c	12	3.4%
Other values (11)	67	19.3%

Uppercase Letter

Value	Count	Frequency (%)
T	49	21.2%
Y	33	14.3%
Q	28	12.1%
I	27	11.7%
V	19	8.2%
P	14	6.1%
R	9	3.9%
W	8	3.5%
N	8	3.5%
E	8	3.5%
Other values (10)	28	12.1%

Decimal Number

Value	Count	Frequency (%)
2	2	50.0%
3	2	50.0%

Space Separator

Value	Count	Frequency (%)
	36	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	579	93.4%
Common	41	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	64	11.1%
T	49	8.5%
u	45	7.8%
o	40	6.9%
Y	33	5.7%
Q	28	4.8%
I	27	4.7%
t	24	4.1%
i	23	4.0%
r	20	3.5%
Other values (31)	226	39.0%

Common

Value	Count	Frequency (%)
	36	87.8%
2	2	4.9%
3	2	4.9%
+	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	620	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	64	10.3%
T	49	7.9%
u	45	7.3%
o	40	6.5%
	36	5.8%
Y	33	5.3%
Q	28	4.5%
I	27	4.4%
t	24	3.9%
i	23	3.7%
Other values (35)	251	40.5%

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	22.7%
Missing	39
Missing (%)	47.0%
Memory size	792.0 B

China	15
United States	7
Russian Federation	5
Hong Kong	5
Korea, Republic of	4
Other values (5)	8

Length

Max length	25
Median length	18
Mean length	10.40909091
Min length	5

Characters and Unicode

Total characters	458
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	6.8%

Sample

1st row	Russian Federation
2nd row	Russian Federation
3rd row	Russian Federation
4th row	Russian Federation
5th row	Russian Federation

Common Values

Value	Count	Frequency (%)
China	15	18.1%
United States	7	8.4%
Russian Federation	5	6.0%
Hong Kong	5	6.0%
Korea, Republic of	4	4.8%
Norway	3	3.6%
Taiwan, Province of China	2	2.4%
Japan	1	1.2%
Poland	1	1.2%
Turkey	1	1.2%
(Missing)	39	47.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
china	17	22.7%
united	7	9.3%
states	7	9.3%
of	6	8.0%
russian	5	6.7%
federation	5	6.7%
hong	5	6.7%
kong	5	6.7%
korea	4	5.3%
republic	4	5.3%
Other values (6)	10	13.3%

Most occurring characters

Value	Count	Frequency (%)
n	50	10.9%
a	48	10.5%
i	42	9.2%
e	35	7.6%
	31	6.8%
o	31	6.8%
t	26	5.7%
C	17	3.7%
h	17	3.7%
s	17	3.7%
Other values (24)	144	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	352	76.9%
Uppercase Letter	69	15.1%
Space Separator	31	6.8%
Other Punctuation	6	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	50	14.2%
a	48	13.6%
i	42	11.9%
e	35	9.9%
o	31	8.8%
t	26	7.4%
h	17	4.8%
s	17	4.8%
r	15	4.3%
d	13	3.7%
Other values (11)	58	16.5%

Uppercase Letter

Value	Count	Frequency (%)
C	17	24.6%
R	9	13.0%
K	9	13.0%
S	7	10.1%
U	7	10.1%
H	5	7.2%
F	5	7.2%
N	3	4.3%
T	3	4.3%
P	3	4.3%

Space Separator

Value	Count	Frequency (%)
	31	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	421	91.9%
Common	37	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	50	11.9%
a	48	11.4%
i	42	10.0%
e	35	8.3%
o	31	7.4%
t	26	6.2%
C	17	4.0%
h	17	4.0%
s	17	4.0%
r	15	3.6%
Other values (22)	123	29.2%

Common

Value	Count	Frequency (%)
	31	83.8%
,	6	16.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	458	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	50	10.9%
a	48	10.5%
i	42	9.2%
e	35	7.6%
	31	6.8%
o	31	6.8%
t	26	5.7%
C	17	3.7%
h	17	3.7%
s	17	3.7%
Other values (24)	144	31.4%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	22.7%
Missing	39
Missing (%)	47.0%
Memory size	792.0 B

CN	15
US	7
RU	5
HK	5
KR	4
Other values (5)	8

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	88
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	6.8%

Sample

1st row	RU
2nd row	RU
3rd row	RU
4th row	RU
5th row	RU

Common Values

Value	Count	Frequency (%)
CN	15	18.1%
US	7	8.4%
RU	5	6.0%
HK	5	6.0%
KR	4	4.8%
NO	3	3.6%
TW	2	2.4%
JP	1	1.2%
PL	1	1.2%
TR	1	1.2%
(Missing)	39	47.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cn	15	34.1%
us	7	15.9%
ru	5	11.4%
hk	5	11.4%
kr	4	9.1%
no	3	6.8%
tw	2	4.5%
jp	1	2.3%
pl	1	2.3%
tr	1	2.3%

Most occurring characters

Value	Count	Frequency (%)
N	18	20.5%
C	15	17.0%
U	12	13.6%
R	10	11.4%
K	9	10.2%
S	7	8.0%
H	5	5.7%
O	3	3.4%
T	3	3.4%
W	2	2.3%
Other values (3)	4	4.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	88	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	18	20.5%
C	15	17.0%
U	12	13.6%
R	10	11.4%
K	9	10.2%
S	7	8.0%
H	5	5.7%
O	3	3.4%
T	3	3.4%
W	2	2.3%
Other values (3)	4	4.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	18	20.5%
C	15	17.0%
U	12	13.6%
R	10	11.4%
K	9	10.2%
S	7	8.0%
H	5	5.7%
O	3	3.4%
T	3	3.4%
W	2	2.3%
Other values (3)	4	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	88	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	18	20.5%
C	15	17.0%
U	12	13.6%
R	10	11.4%
K	9	10.2%
S	7	8.0%
H	5	5.7%
O	3	3.4%
T	3	3.4%
W	2	2.3%
Other values (3)	4	4.5%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	22.7%
Missing	39
Missing (%)	47.0%
Memory size	792.0 B

Asia/Shanghai	15
America/New_York	7
Asia/Kamchatka	5
Asia/Hong_Kong	5
Asia/Seoul	4
Other values (5)	8

Length

Max length	16
Median length	15
Mean length	13.18181818
Min length	10

Characters and Unicode

Total characters	580
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	6.8%

Sample

1st row	Asia/Kamchatka
2nd row	Asia/Kamchatka
3rd row	Asia/Kamchatka
4th row	Asia/Kamchatka
5th row	Asia/Kamchatka

Common Values

Value	Count	Frequency (%)
Asia/Shanghai	15	18.1%
America/New_York	7	8.4%
Asia/Kamchatka	5	6.0%
Asia/Hong_Kong	5	6.0%
Asia/Seoul	4	4.8%
Europe/Oslo	3	3.6%
Asia/Taipei	2	2.4%
Asia/Tokyo	1	1.2%
Europe/Warsaw	1	1.2%
Europe/Istanbul	1	1.2%
(Missing)	39	47.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/shanghai	15	34.1%
america/new_york	7	15.9%
asia/kamchatka	5	11.4%
asia/hong_kong	5	11.4%
asia/seoul	4	9.1%
europe/oslo	3	6.8%
asia/taipei	2	4.5%
asia/tokyo	1	2.3%
europe/warsaw	1	2.3%
europe/istanbul	1	2.3%

Most occurring characters

Value	Count	Frequency (%)
a	89	15.3%
i	58	10.0%
/	44	7.6%
A	39	6.7%
s	37	6.4%
h	35	6.0%
o	31	5.3%
n	26	4.5%
e	25	4.3%
g	25	4.3%
Other values (22)	171	29.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	424	73.1%
Uppercase Letter	100	17.2%
Other Punctuation	44	7.6%
Connector Punctuation	12	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	89	21.0%
i	58	13.7%
s	37	8.7%
h	35	8.3%
o	31	7.3%
n	26	6.1%
e	25	5.9%
g	25	5.9%
r	20	4.7%
k	13	3.1%
Other values (9)	65	15.3%

Uppercase Letter

Value	Count	Frequency (%)
A	39	39.0%
S	19	19.0%
K	10	10.0%
Y	7	7.0%
N	7	7.0%
H	5	5.0%
E	5	5.0%
O	3	3.0%
T	3	3.0%
W	1	1.0%

Other Punctuation

Value	Count	Frequency (%)
/	44	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	524	90.3%
Common	56	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	89	17.0%
i	58	11.1%
A	39	7.4%
s	37	7.1%
h	35	6.7%
o	31	5.9%
n	26	5.0%
e	25	4.8%
g	25	4.8%
r	20	3.8%
Other values (20)	139	26.5%

Common

Value	Count	Frequency (%)
/	44	78.6%
_	12	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	580	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	89	15.3%
i	58	10.0%
/	44	7.6%
A	39	6.7%
s	37	6.4%
h	35	6.0%
o	31	5.3%
n	26	4.5%
e	25	4.3%
g	25	4.3%
Other values (22)	171	29.5%

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	19.6%
Missing	37
Missing (%)	44.6%
Memory size	792.0 B

https://www.youtube.com	17
https://www.iq.com/	12
https://v.qq.com/	8
https://tv.naver.com/	3
https://w.mgtv.com/	2
Other values (4)	4

Length

Max length	30
Median length	25
Mean length	20.58695652
Min length	17

Characters and Unicode

Total characters	947
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	8.7%

Sample

1st row	https://www.ivi.ru/
2nd row	https://v.qq.com/
3rd row	https://v.qq.com/
4th row	https://v.qq.com/
5th row	https://www.vlive.tv/home

Common Values

Value	Count	Frequency (%)
https://www.youtube.com	17	20.5%
https://www.iq.com/	12	14.5%
https://v.qq.com/	8	9.6%
https://tv.naver.com/	3	3.6%
https://w.mgtv.com/	2	2.4%
https://www.ivi.ru/	1	1.2%
https://www.vlive.tv/home	1	1.2%
https://wetv.vip/	1	1.2%
https://www.discoveryplus.com/	1	1.2%
(Missing)	37	44.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://www.youtube.com	17	37.0%
https://www.iq.com	12	26.1%
https://v.qq.com	8	17.4%
https://tv.naver.com	3	6.5%
https://w.mgtv.com	2	4.3%
https://www.ivi.ru	1	2.2%
https://www.vlive.tv/home	1	2.2%
https://wetv.vip	1	2.2%
https://www.discoveryplus.com	1	2.2%

Most occurring characters

Value	Count	Frequency (%)
/	121	12.8%
t	116	12.2%
w	99	10.5%
.	91	9.6%
o	62	6.5%
p	48	5.1%
s	48	5.1%
h	47	5.0%
:	46	4.9%
m	46	4.9%
Other values (14)	223	23.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	689	72.8%
Other Punctuation	258	27.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	116	16.8%
w	99	14.4%
o	62	9.0%
p	48	7.0%
s	48	7.0%
h	47	6.8%
m	46	6.7%
c	44	6.4%
u	36	5.2%
q	28	4.1%
Other values (11)	115	16.7%

Other Punctuation

Value	Count	Frequency (%)
/	121	46.9%
.	91	35.3%
:	46	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	689	72.8%
Common	258	27.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	116	16.8%
w	99	14.4%
o	62	9.0%
p	48	7.0%
s	48	7.0%
h	47	6.8%
m	46	6.7%
c	44	6.4%
u	36	5.2%
q	28	4.1%
Other values (11)	115	16.7%

Common

Value	Count	Frequency (%)
/	121	46.9%
.	91	35.3%
:	46	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	947	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	121	12.8%
t	116	12.2%
w	99	10.5%
.	91	9.6%
o	62	6.5%
p	48	5.1%
s	48	5.1%
h	47	5.0%
:	46	4.9%
m	46	4.9%
Other values (14)	223	23.5%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83
Missing (%)	100.0%
Memory size	792.0 B

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	3
Distinct (%)	100.0%
Missing	80
Missing (%)	96.4%
Memory size	792.0 B

30282.0	1
19056.0	1
6659.0	1

Length

Max length	7
Median length	7
Mean length	6.666666667
Min length	6

Characters and Unicode

Total characters	20
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	100.0%

Sample

1st row	30282.0
2nd row	19056.0
3rd row	6659.0

Common Values

Value	Count	Frequency (%)
30282.0	1	1.2%
19056.0	1	1.2%
6659.0	1	1.2%
(Missing)	80	96.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
30282.0	1	33.3%
19056.0	1	33.3%
6659.0	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
0	5	25.0%
.	3	15.0%
6	3	15.0%
2	2	10.0%
9	2	10.0%
5	2	10.0%
3	1	5.0%
8	1	5.0%
1	1	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17	85.0%
Other Punctuation	3	15.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5	29.4%
6	3	17.6%
2	2	11.8%
9	2	11.8%
5	2	11.8%
3	1	5.9%
8	1	5.9%
1	1	5.9%

Other Punctuation

Value	Count	Frequency (%)
.	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	20	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5	25.0%
.	3	15.0%
6	3	15.0%
2	2	10.0%
9	2	10.0%
5	2	10.0%
3	1	5.0%
8	1	5.0%
1	1	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5	25.0%
.	3	15.0%
6	3	15.0%
2	2	10.0%
9	2	10.0%
5	2	10.0%
3	1	5.0%
8	1	5.0%
1	1	5.0%

_embedded.show.externals.thetvdb
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	44
Distinct (%)	75.9%
Missing	25
Missing (%)	30.1%
Infinite	0
Infinite (%)	0.0%
Mean	337155.7759

Minimum	73246
Maximum	410187
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	73246
5-th percentile	100464.75
Q1	312683.5
median	381485
Q3	393662.75
95-th percentile	402864.9
Maximum	410187
Range	336941
Interquartile range (IQR)	80979.25

Descriptive statistics

Standard deviation	88389.10858
Coefficient of variation (CV)	0.2621610392
Kurtosis	2.838879142
Mean	337155.7759
Median Absolute Deviation (MAD)	15762
Skewness	-1.846292396
Sum	19555035
Variance	7812634516
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
393473	5	6.0%
394467	3	3.6%
392214	2	2.4%
397247	2	2.4%
393381	2	2.4%
260829	2	2.4%
278793	2	2.4%
393726	2	2.4%
410187	2	2.4%
394087	2	2.4%
Other values (34)	34	41.0%
(Missing)	25	30.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
73246	1	1.2%
76779	1	1.2%
78896	1	1.2%
104271	1	1.2%
144991	1	1.2%
247956	1	1.2%
260829	2	2.4%
264458	1	1.2%
265193	1	1.2%
265865	1	1.2%

Value	Count	Frequency (%)
410187	2	2.4%
408956	1	1.2%
401790	1	1.2%
397247	2	2.4%
394627	1	1.2%
394467	3	3.6%
394087	2	2.4%
394045	1	1.2%
393726	2	2.4%
393473	5	6.0%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	23
Distinct (%)	88.5%
Missing	57
Missing (%)	68.7%
Memory size	792.0 B

tt13598988	2
tt14125832	2
tt1714810	2
tt13370842	1
tt0185103	1
Other values (18)	18

Length

Max length	10
Median length	9
Mean length	9.423076923
Min length	9

Characters and Unicode

Total characters	245
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	76.9%

Sample

1st row	tt8561620
2nd row	tt14125832
3rd row	tt14125832
4th row	tt12923874
5th row	tt11492320

Common Values

Value	Count	Frequency (%)
tt13598988	2	2.4%
tt14125832	2	2.4%
tt1714810	2	2.4%
tt13370842	1	1.2%
tt0185103	1	1.2%
tt4793190	1	1.2%
tt0096597	1	1.2%
tt1868207	1	1.2%
tt3541656	1	1.2%
tt7431994	1	1.2%
Other values (13)	13	15.7%
(Missing)	57	68.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tt13598988	2	7.7%
tt1714810	2	7.7%
tt14125832	2	7.7%
tt9206788	1	3.8%
tt12923874	1	3.8%
tt11492320	1	3.8%
tt10727044	1	3.8%
tt0401747	1	3.8%
tt0337534	1	3.8%
tt4087032	1	3.8%
Other values (13)	13	50.0%

Most occurring characters

Value	Count	Frequency (%)
t	52	21.2%
1	30	12.2%
8	27	11.0%
3	20	8.2%
4	20	8.2%
2	20	8.2%
0	19	7.8%
9	17	6.9%
7	17	6.9%
6	12	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	193	78.8%
Lowercase Letter	52	21.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	30	15.5%
8	27	14.0%
3	20	10.4%
4	20	10.4%
2	20	10.4%
0	19	9.8%
9	17	8.8%
7	17	8.8%
6	12	6.2%
5	11	5.7%

Lowercase Letter

Value	Count	Frequency (%)
t	52	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	193	78.8%
Latin	52	21.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	30	15.5%
8	27	14.0%
3	20	10.4%
4	20	10.4%
2	20	10.4%
0	19	9.8%
9	17	8.8%
7	17	8.8%
6	12	6.2%
5	11	5.7%

Latin

Value	Count	Frequency (%)
t	52	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	245	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	52	21.2%
1	30	12.2%
8	27	11.0%
3	20	8.2%
4	20	8.2%
2	20	8.2%
0	19	7.8%
9	17	6.9%
7	17	6.9%
6	12	4.9%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	54
Distinct (%)	66.7%
Missing	2
Missing (%)	2.4%
Memory size	792.0 B

https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg	12
https://static.tvmaze.com/uploads/images/medium_portrait/289/723058.jpg	5
https://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg	3
https://static.tvmaze.com/uploads/images/medium_portrait/285/714863.jpg	2
https://static.tvmaze.com/uploads/images/medium_portrait/289/723488.jpg	2
Other values (49)	57

Length

Max length	72
Median length	71
Mean length	70.87654321
Min length	69

Characters and Unicode

Total characters	5741
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	50.6%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_portrait/285/713049.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_portrait/289/723328.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg	12	14.5%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723058.jpg	5	6.0%
https://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg	3	3.6%
https://static.tvmaze.com/uploads/images/medium_portrait/285/714863.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723488.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/23/59540.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729461.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/308/770106.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731348.jpg	2	2.4%
Other values (44)	47	56.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg	12	14.8%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723058.jpg	5	6.2%
https://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg	3	3.7%
https://static.tvmaze.com/uploads/images/medium_portrait/308/770106.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/414/1035476.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731348.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729461.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/23/59540.jpg	2	2.5%
Other values (44)	47	58.0%

Most occurring characters

Value	Count	Frequency (%)
t	567	9.9%
/	567	9.9%
m	405	7.1%
a	405	7.1%
p	324	5.6%
s	324	5.6%
i	324	5.6%
o	243	4.2%
.	243	4.2%
e	243	4.2%
Other values (22)	2096	36.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4050	70.5%
Other Punctuation	891	15.5%
Decimal Number	719	12.5%
Connector Punctuation	81	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	567	14.0%
m	405	10.0%
a	405	10.0%
p	324	8.0%
s	324	8.0%
i	324	8.0%
o	243	6.0%
e	243	6.0%
u	162	4.0%
c	162	4.0%
Other values (8)	891	22.0%

Decimal Number

Value	Count	Frequency (%)
2	110	15.3%
7	93	12.9%
8	83	11.5%
3	73	10.2%
0	72	10.0%
9	70	9.7%
5	64	8.9%
1	64	8.9%
4	51	7.1%
6	39	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	567	63.6%
.	243	27.3%
:	81	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	81	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4050	70.5%
Common	1691	29.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	567	14.0%
m	405	10.0%
a	405	10.0%
p	324	8.0%
s	324	8.0%
i	324	8.0%
o	243	6.0%
e	243	6.0%
u	162	4.0%
c	162	4.0%
Other values (8)	891	22.0%

Common

Value	Count	Frequency (%)
/	567	33.5%
.	243	14.4%
2	110	6.5%
7	93	5.5%
8	83	4.9%
_	81	4.8%
:	81	4.8%
3	73	4.3%
0	72	4.3%
9	70	4.1%
Other values (4)	218	12.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5741	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	567	9.9%
/	567	9.9%
m	405	7.1%
a	405	7.1%
p	324	5.6%
s	324	5.6%
i	324	5.6%
o	243	4.2%
.	243	4.2%
e	243	4.2%
Other values (22)	2096	36.5%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	54
Distinct (%)	66.7%
Missing	2
Missing (%)	2.4%
Memory size	792.0 B

https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg	12
https://static.tvmaze.com/uploads/images/original_untouched/289/723058.jpg	5
https://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg	3
https://static.tvmaze.com/uploads/images/original_untouched/285/714863.jpg	2
https://static.tvmaze.com/uploads/images/original_untouched/289/723488.jpg	2
Other values (49)	57

Length

Max length	75
Median length	74
Mean length	73.87654321
Min length	72

Characters and Unicode

Total characters	5984
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	50.6%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/285/713049.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/289/723328.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg	12	14.5%
https://static.tvmaze.com/uploads/images/original_untouched/289/723058.jpg	5	6.0%
https://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg	3	3.6%
https://static.tvmaze.com/uploads/images/original_untouched/285/714863.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/289/723488.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/23/59540.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/291/729461.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/308/770106.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/292/731348.jpg	2	2.4%
Other values (44)	47	56.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg	12	14.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/723058.jpg	5	6.2%
https://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg	3	3.7%
https://static.tvmaze.com/uploads/images/original_untouched/308/770106.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/414/1035476.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/292/731348.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/291/729461.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/23/59540.jpg	2	2.5%
Other values (44)	47	58.0%

Most occurring characters

Value	Count	Frequency (%)
/	567	9.5%
t	486	8.1%
a	405	6.8%
s	324	5.4%
i	324	5.4%
o	324	5.4%
p	243	4.1%
c	243	4.1%
.	243	4.1%
g	243	4.1%
Other values (23)	2582	43.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4293	71.7%
Other Punctuation	891	14.9%
Decimal Number	719	12.0%
Connector Punctuation	81	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	486	11.3%
a	405	9.4%
s	324	7.5%
i	324	7.5%
o	324	7.5%
p	243	5.7%
c	243	5.7%
g	243	5.7%
m	243	5.7%
e	243	5.7%
Other values (9)	1215	28.3%

Decimal Number

Value	Count	Frequency (%)
2	110	15.3%
7	93	12.9%
8	83	11.5%
3	73	10.2%
0	72	10.0%
9	70	9.7%
5	64	8.9%
1	64	8.9%
4	51	7.1%
6	39	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	567	63.6%
.	243	27.3%
:	81	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	81	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4293	71.7%
Common	1691	28.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	486	11.3%
a	405	9.4%
s	324	7.5%
i	324	7.5%
o	324	7.5%
p	243	5.7%
c	243	5.7%
g	243	5.7%
m	243	5.7%
e	243	5.7%
Other values (9)	1215	28.3%

Common

Value	Count	Frequency (%)
/	567	33.5%
.	243	14.4%
2	110	6.5%
7	93	5.5%
8	83	4.9%
:	81	4.8%
_	81	4.8%
3	73	4.3%
0	72	4.3%
9	70	4.1%
Other values (4)	218	12.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5984	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	567	9.5%
t	486	8.1%
a	405	6.8%
s	324	5.4%
i	324	5.4%
o	324	5.4%
p	243	4.1%
c	243	4.1%
.	243	4.1%
g	243	4.1%
Other values (23)	2582	43.1%

_embedded.show.summary
Categorical

HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	69.4%
Missing	11
Missing (%)	13.3%
Memory size	792.0 B

<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>	12
<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	3
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	2
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>	2
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>	2
Other values (45)	51

Length

Max length	913
Median length	553
Mean length	365.1527778
Min length	58

Characters and Unicode

Total characters	26291
Distinct characters	95
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	54.2%

Sample

1st row	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
2nd row	<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>
3rd row	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>
4th row	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>
5th row	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>

Common Values

Value	Count	Frequency (%)
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>	12	14.5%
<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	3	3.6%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	2	2.4%
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>	2	2.4%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>	2	2.4%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.4%
<p>The series is a fantasy comic web drama that tells a story of three students, who were studying in Seowon during the Joseon period accidently time travel and arrive at present-day Seowon in 2020.</p>	2	2.4%
<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>	2	2.4%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>	2	2.4%
<p>Ju Xuanwen (Wan Yan Lo-yun) is a man with a noble appearance and many virtues. It is a pity that he fell ill with neurosis at a young age - after an unexplained car accident he falls into a delusional state and considers himself a prince. Since then, he no longer cares about the activities of his company and concentrates on becoming emperor.<br />Lo Huai (Chuang Da Fei) - psychiatrist on the verge of bankruptcy. Because of the need for money, she took responsibility for the treatment of Ju Xuanwen. However, she did not expect her peaceful days to end one day. Spending time together, they began to fall in love with each other.</p>	2	2.4%
Other values (40)	41	49.4%
(Missing)	11	13.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	315	7.1%
and	173	3.9%
of	161	3.6%
a	129	2.9%
in	128	2.9%
to	124	2.8%
with	52	1.2%
is	49	1.1%
that	37	0.8%
are	28	0.6%
Other values (1298)	3234	73.0%

Most occurring characters

Value	Count	Frequency (%)
	4348	16.5%
e	2563	9.7%
t	1836	7.0%
a	1637	6.2%
n	1603	6.1%
o	1515	5.8%
i	1367	5.2%
r	1313	5.0%
s	1119	4.3%
h	1058	4.0%
Other values (85)	7932	30.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19847	75.5%
Space Separator	4358	16.6%
Uppercase Letter	893	3.4%
Other Punctuation	661	2.5%
Math Symbol	400	1.5%
Decimal Number	70	0.3%
Dash Punctuation	41	0.2%
Open Punctuation	10	< 0.1%
Close Punctuation	10	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2563	12.9%
t	1836	9.3%
a	1637	8.2%
n	1603	8.1%
o	1515	7.6%
i	1367	6.9%
r	1313	6.6%
s	1119	5.6%
h	1058	5.3%
d	748	3.8%
Other values (30)	5088	25.6%

Uppercase Letter

Value	Count	Frequency (%)
S	90	10.1%
T	80	9.0%
Y	77	8.6%
C	55	6.2%
R	48	5.4%
I	45	5.0%
W	42	4.7%
A	42	4.7%
D	37	4.1%
M	37	4.1%
Other values (17)	340	38.1%

Other Punctuation

Value	Count	Frequency (%)
,	244	36.9%
.	213	32.2%
/	103	15.6%
"	42	6.4%
'	38	5.7%
:	10	1.5%
!	7	1.1%
?	2	0.3%
&	1	0.2%
;	1	0.2%

Decimal Number

Value	Count	Frequency (%)
0	20	28.6%
2	17	24.3%
1	10	14.3%
9	7	10.0%
3	5	7.1%
8	4	5.7%
5	3	4.3%
6	2	2.9%
7	2	2.9%

Space Separator

Value	Count	Frequency (%)
	4348	99.8%
	10	0.2%

Math Symbol

Value	Count	Frequency (%)
>	200	50.0%
<	200	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	33	80.5%
—	8	19.5%

Open Punctuation

Value	Count	Frequency (%)
(	10	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	10	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20729	78.8%
Common	5551	21.1%
Cyrillic	11	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2563	12.4%
t	1836	8.9%
a	1637	7.9%
n	1603	7.7%
o	1515	7.3%
i	1367	6.6%
r	1313	6.3%
s	1119	5.4%
h	1058	5.1%
d	748	3.6%
Other values (47)	5970	28.8%

Common

Value	Count	Frequency (%)
	4348	78.3%
,	244	4.4%
.	213	3.8%
>	200	3.6%
<	200	3.6%
/	103	1.9%
"	42	0.8%
'	38	0.7%
-	33	0.6%
0	20	0.4%
Other values (18)	110	2.0%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
я	1	9.1%
м	1	9.1%
е	1	9.1%
т	1	9.1%
к	1	9.1%
с	1	9.1%
ж	1	9.1%
у	1	9.1%
М	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26257	99.9%
None	15	0.1%
Cyrillic	11	< 0.1%
Punctuation	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4348	16.6%
e	2563	9.8%
t	1836	7.0%
a	1637	6.2%
n	1603	6.1%
o	1515	5.8%
i	1367	5.2%
r	1313	5.0%
s	1119	4.3%
h	1058	4.0%
Other values (68)	7898	30.1%

None

Value	Count	Frequency (%)
	10	66.7%
å	1	6.7%
ç	1	6.7%
ı	1	6.7%
ā	1	6.7%
é	1	6.7%

Punctuation

Value	Count	Frequency (%)
—	8	100.0%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
я	1	9.1%
м	1	9.1%
е	1	9.1%
т	1	9.1%
к	1	9.1%
с	1	9.1%
ж	1	9.1%
у	1	9.1%
М	1	9.1%

_embedded.show.updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	67.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1642193156

Minimum	1609060726
Maximum	1662346277
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	792.0 B

Quantile statistics

Minimum	1609060726
5-th percentile	1610243441
Q1	1627341874
median	1648190058
Q3	1655666546
95-th percentile	1661605405
Maximum	1662346277
Range	53285551
Interquartile range (IQR)	28324673

Descriptive statistics

Standard deviation	18720512.68
Coefficient of variation (CV)	0.01139970205
Kurtosis	-0.9887256769
Mean	1642193156
Median Absolute Deviation (MAD)	10341752
Skewness	-0.7473305771
Sum	1.363020319 × 10¹¹
Variance	3.50457595 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1654976086	12	14.5%
1611538948	5	6.0%
1642689319	3	3.6%
1640435531	2	2.4%
1609060726	2	2.4%
1609535141	2	2.4%
1656357007	2	2.4%
1649956202	2	2.4%
1612478145	2	2.4%
1618466682	2	2.4%
Other values (46)	49	59.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1609060726	2	2.4%
1609535141	2	2.4%
1610110841	1	1.2%
1611436842	1	1.2%
1611538948	5	6.0%
1611725713	1	1.2%
1612478145	2	2.4%
1613088348	1	1.2%
1613356446	1	1.2%
1615451069	2	2.4%

Value	Count	Frequency (%)
1662346277	1	1.2%
1662130641	1	1.2%
1662048054	1	1.2%
1662030100	1	1.2%
1661632267	1	1.2%
1661363644	1	1.2%
1661358770	2	2.4%
1661354256	1	1.2%
1661336442	1	1.2%
1661006042	1	1.2%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	56
Distinct (%)	67.5%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

https://api.tvmaze.com/shows/52655	12
https://api.tvmaze.com/shows/52479	5
https://api.tvmaze.com/shows/54541	3
https://api.tvmaze.com/shows/52181	2
https://api.tvmaze.com/shows/52159	2
Other values (51)	59

Length

Max length	34
Median length	34
Mean length	33.89156627
Min length	32

Characters and Unicode

Total characters	2813
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	51.8%

Sample

1st row	https://api.tvmaze.com/shows/39115
2nd row	https://api.tvmaze.com/shows/48683
3rd row	https://api.tvmaze.com/shows/52181
4th row	https://api.tvmaze.com/shows/52181
5th row	https://api.tvmaze.com/shows/52520

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52655	12	14.5%
https://api.tvmaze.com/shows/52479	5	6.0%
https://api.tvmaze.com/shows/54541	3	3.6%
https://api.tvmaze.com/shows/52181	2	2.4%
https://api.tvmaze.com/shows/52159	2	2.4%
https://api.tvmaze.com/shows/52104	2	2.4%
https://api.tvmaze.com/shows/62764	2	2.4%
https://api.tvmaze.com/shows/52898	2	2.4%
https://api.tvmaze.com/shows/52524	2	2.4%
https://api.tvmaze.com/shows/54762	2	2.4%
Other values (46)	49	59.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52655	12	14.5%
https://api.tvmaze.com/shows/52479	5	6.0%
https://api.tvmaze.com/shows/54541	3	3.6%
https://api.tvmaze.com/shows/52524	2	2.4%
https://api.tvmaze.com/shows/15250	2	2.4%
https://api.tvmaze.com/shows/52781	2	2.4%
https://api.tvmaze.com/shows/54762	2	2.4%
https://api.tvmaze.com/shows/6147	2	2.4%
https://api.tvmaze.com/shows/52898	2	2.4%
https://api.tvmaze.com/shows/62764	2	2.4%
Other values (46)	49	59.0%

Most occurring characters

Value	Count	Frequency (%)
/	332	11.8%
s	249	8.9%
t	249	8.9%
h	166	5.9%
p	166	5.9%
a	166	5.9%
.	166	5.9%
o	166	5.9%
m	166	5.9%
5	104	3.7%
Other values (16)	883	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1826	64.9%
Other Punctuation	581	20.7%
Decimal Number	406	14.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	249	13.6%
t	249	13.6%
h	166	9.1%
p	166	9.1%
a	166	9.1%
o	166	9.1%
m	166	9.1%
e	83	4.5%
w	83	4.5%
c	83	4.5%
Other values (3)	249	13.6%

Decimal Number

Value	Count	Frequency (%)
5	104	25.6%
2	57	14.0%
4	50	12.3%
6	45	11.1%
1	42	10.3%
7	27	6.7%
9	24	5.9%
8	24	5.9%
0	21	5.2%
3	12	3.0%

Other Punctuation

Value	Count	Frequency (%)
/	332	57.1%
.	166	28.6%
:	83	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1826	64.9%
Common	987	35.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	332	33.6%
.	166	16.8%
5	104	10.5%
:	83	8.4%
2	57	5.8%
4	50	5.1%
6	45	4.6%
1	42	4.3%
7	27	2.7%
9	24	2.4%
Other values (3)	57	5.8%

Latin

Value	Count	Frequency (%)
s	249	13.6%
t	249	13.6%
h	166	9.1%
p	166	9.1%
a	166	9.1%
o	166	9.1%
m	166	9.1%
e	83	4.5%
w	83	4.5%
c	83	4.5%
Other values (3)	249	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2813	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	332	11.8%
s	249	8.9%
t	249	8.9%
h	166	5.9%
p	166	5.9%
a	166	5.9%
.	166	5.9%
o	166	5.9%
m	166	5.9%
5	104	3.7%
Other values (16)	883	31.4%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	56
Distinct (%)	67.5%
Missing	0
Missing (%)	0.0%
Memory size	792.0 B

https://api.tvmaze.com/episodes/2340036	12
https://api.tvmaze.com/episodes/1987350	5
https://api.tvmaze.com/episodes/2261133	3
https://api.tvmaze.com/episodes/1982412	2
https://api.tvmaze.com/episodes/1977651	2
Other values (51)	59

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3237
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	51.8%

Sample

1st row	https://api.tvmaze.com/episodes/1977905
2nd row	https://api.tvmaze.com/episodes/2383519
3rd row	https://api.tvmaze.com/episodes/1982412
4th row	https://api.tvmaze.com/episodes/1982412
5th row	https://api.tvmaze.com/episodes/1988016

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2340036	12	14.5%
https://api.tvmaze.com/episodes/1987350	5	6.0%
https://api.tvmaze.com/episodes/2261133	3	3.6%
https://api.tvmaze.com/episodes/1982412	2	2.4%
https://api.tvmaze.com/episodes/1977651	2	2.4%
https://api.tvmaze.com/episodes/1976054	2	2.4%
https://api.tvmaze.com/episodes/2353919	2	2.4%
https://api.tvmaze.com/episodes/2005762	2	2.4%
https://api.tvmaze.com/episodes/1988079	2	2.4%
https://api.tvmaze.com/episodes/2071494	2	2.4%
Other values (46)	49	59.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2340036	12	14.5%
https://api.tvmaze.com/episodes/1987350	5	6.0%
https://api.tvmaze.com/episodes/2261133	3	3.6%
https://api.tvmaze.com/episodes/1988079	2	2.4%
https://api.tvmaze.com/episodes/2301276	2	2.4%
https://api.tvmaze.com/episodes/1998564	2	2.4%
https://api.tvmaze.com/episodes/2071494	2	2.4%
https://api.tvmaze.com/episodes/2379012	2	2.4%
https://api.tvmaze.com/episodes/2005762	2	2.4%
https://api.tvmaze.com/episodes/2353919	2	2.4%
Other values (46)	49	59.0%

Most occurring characters

Value	Count	Frequency (%)
/	332	10.3%
p	249	7.7%
s	249	7.7%
e	249	7.7%
t	249	7.7%
o	166	5.1%
a	166	5.1%
i	166	5.1%
.	166	5.1%
m	166	5.1%
Other values (16)	1079	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2075	64.1%
Other Punctuation	581	17.9%
Decimal Number	581	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	249	12.0%
s	249	12.0%
e	249	12.0%
t	249	12.0%
o	166	8.0%
a	166	8.0%
i	166	8.0%
m	166	8.0%
h	83	4.0%
d	83	4.0%
Other values (3)	249	12.0%

Decimal Number

Value	Count	Frequency (%)
2	96	16.5%
3	86	14.8%
0	71	12.2%
1	59	10.2%
9	57	9.8%
4	50	8.6%
7	49	8.4%
6	40	6.9%
8	40	6.9%
5	33	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	332	57.1%
.	166	28.6%
:	83	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2075	64.1%
Common	1162	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	332	28.6%
.	166	14.3%
2	96	8.3%
3	86	7.4%
:	83	7.1%
0	71	6.1%
1	59	5.1%
9	57	4.9%
4	50	4.3%
7	49	4.2%
Other values (3)	113	9.7%

Latin

Value	Count	Frequency (%)
p	249	12.0%
s	249	12.0%
e	249	12.0%
t	249	12.0%
o	166	8.0%
a	166	8.0%
i	166	8.0%
m	166	8.0%
h	83	4.0%
d	83	4.0%
Other values (3)	249	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3237	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	332	10.3%
p	249	7.7%
s	249	7.7%
e	249	7.7%
t	249	7.7%
o	166	5.1%
a	166	5.1%
i	166	5.1%
.	166	5.1%
m	166	5.1%
Other values (16)	1079	33.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83
Missing (%)	100.0%
Memory size	792.0 B

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	8
Distinct (%)	100.0%
Missing	75
Missing (%)	90.4%
Memory size	792.0 B

https://api.tvmaze.com/episodes/2383577	1
https://api.tvmaze.com/episodes/2381297	1
https://api.tvmaze.com/episodes/2376729	1
https://api.tvmaze.com/episodes/2375175	1
https://api.tvmaze.com/episodes/2330185	1
Other values (3)	3

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	312
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2383577
2nd row	https://api.tvmaze.com/episodes/2381297
3rd row	https://api.tvmaze.com/episodes/2376729
4th row	https://api.tvmaze.com/episodes/2375175
5th row	https://api.tvmaze.com/episodes/2330185

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2383577	1	1.2%
https://api.tvmaze.com/episodes/2381297	1	1.2%
https://api.tvmaze.com/episodes/2376729	1	1.2%
https://api.tvmaze.com/episodes/2375175	1	1.2%
https://api.tvmaze.com/episodes/2330185	1	1.2%
https://api.tvmaze.com/episodes/2350916	1	1.2%
https://api.tvmaze.com/episodes/2379703	1	1.2%
https://api.tvmaze.com/episodes/2348843	1	1.2%
(Missing)	75	90.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2383577	1	12.5%
https://api.tvmaze.com/episodes/2381297	1	12.5%
https://api.tvmaze.com/episodes/2376729	1	12.5%
https://api.tvmaze.com/episodes/2375175	1	12.5%
https://api.tvmaze.com/episodes/2330185	1	12.5%
https://api.tvmaze.com/episodes/2350916	1	12.5%
https://api.tvmaze.com/episodes/2379703	1	12.5%
https://api.tvmaze.com/episodes/2348843	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
/	32	10.3%
p	24	7.7%
s	24	7.7%
e	24	7.7%
t	24	7.7%
a	16	5.1%
i	16	5.1%
.	16	5.1%
m	16	5.1%
o	16	5.1%
Other values (16)	104	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	200	64.1%
Other Punctuation	56	17.9%
Decimal Number	56	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	24	12.0%
s	24	12.0%
e	24	12.0%
t	24	12.0%
a	16	8.0%
i	16	8.0%
m	16	8.0%
o	16	8.0%
h	8	4.0%
d	8	4.0%
Other values (3)	24	12.0%

Decimal Number

Value	Count	Frequency (%)
3	12	21.4%
2	10	17.9%
7	9	16.1%
8	5	8.9%
5	5	8.9%
1	4	7.1%
9	4	7.1%
0	3	5.4%
6	2	3.6%
4	2	3.6%

Other Punctuation

Value	Count	Frequency (%)
/	32	57.1%
.	16	28.6%
:	8	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	200	64.1%
Common	112	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	32	28.6%
.	16	14.3%
3	12	10.7%
2	10	8.9%
7	9	8.0%
:	8	7.1%
8	5	4.5%
5	5	4.5%
1	4	3.6%
9	4	3.6%
Other values (3)	7	6.2%

Latin

Value	Count	Frequency (%)
p	24	12.0%
s	24	12.0%
e	24	12.0%
t	24	12.0%
a	16	8.0%
i	16	8.0%
m	16	8.0%
o	16	8.0%
h	8	4.0%
d	8	4.0%
Other values (3)	24	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	312	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	32	10.3%
p	24	7.7%
s	24	7.7%
e	24	7.7%
t	24	7.7%
a	16	5.1%
i	16	5.1%
.	16	5.1%
m	16	5.1%
o	16	5.1%
Other values (16)	104	33.3%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83
Missing (%)	100.0%
Memory size	792.0 B

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	82
Missing (%)	98.8%
Memory size	792.0 B

Poland	1

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	6
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Poland

Common Values

Value	Count	Frequency (%)
Poland	1	1.2%
(Missing)	82	98.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
poland	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
P	1	16.7%
o	1	16.7%
l	1	16.7%
a	1	16.7%
n	1	16.7%
d	1	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5	83.3%
Uppercase Letter	1	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1	20.0%
l	1	20.0%
a	1	20.0%
n	1	20.0%
d	1	20.0%

Uppercase Letter

Value	Count	Frequency (%)
P	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	1	16.7%
o	1	16.7%
l	1	16.7%
a	1	16.7%
n	1	16.7%
d	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	1	16.7%
o	1	16.7%
l	1	16.7%
a	1	16.7%
n	1	16.7%
d	1	16.7%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	82
Missing (%)	98.8%
Memory size	792.0 B

PL	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	PL

Common Values

Value	Count	Frequency (%)
PL	1	1.2%
(Missing)	82	98.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
pl	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
P	1	50.0%
L	1	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	1	50.0%
L	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	1	50.0%
L	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	1	50.0%
L	1	50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	82
Missing (%)	98.8%
Memory size	792.0 B

Europe/Warsaw	1

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	13
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Europe/Warsaw

Common Values

Value	Count	Frequency (%)
Europe/Warsaw	1	1.2%
(Missing)	82	98.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe/warsaw	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	2	15.4%
a	2	15.4%
E	1	7.7%
u	1	7.7%
o	1	7.7%
p	1	7.7%
e	1	7.7%
/	1	7.7%
W	1	7.7%
s	1	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10	76.9%
Uppercase Letter	2	15.4%
Other Punctuation	1	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2	20.0%
a	2	20.0%
u	1	10.0%
o	1	10.0%
p	1	10.0%
e	1	10.0%
s	1	10.0%
w	1	10.0%

Uppercase Letter

Value	Count	Frequency (%)
E	1	50.0%
W	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12	92.3%
Common	1	7.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2	16.7%
a	2	16.7%
E	1	8.3%
u	1	8.3%
o	1	8.3%
p	1	8.3%
e	1	8.3%
W	1	8.3%
s	1	8.3%
w	1	8.3%

Common

Value	Count	Frequency (%)
/	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2	15.4%
a	2	15.4%
E	1	7.7%
u	1	7.7%
o	1	7.7%
p	1	7.7%
e	1	7.7%
/	1	7.7%
W	1	7.7%
s	1	7.7%

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83
Missing (%)	100.0%
Memory size	792.0 B

_embedded.show.network.id
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	4
Distinct (%)	100.0%
Missing	79
Missing (%)	95.2%
Memory size	792.0 B

755.0	1
112.0	1
37.0	1
30.0	1

Length

Max length	5
Median length	4.5
Mean length	4.5
Min length	4

Characters and Unicode

Total characters	18
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	755.0
2nd row	112.0
3rd row	37.0
4th row	30.0

Common Values

Value	Count	Frequency (%)
755.0	1	1.2%
112.0	1	1.2%
37.0	1	1.2%
30.0	1	1.2%
(Missing)	79	95.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
755.0	1	25.0%
112.0	1	25.0%
37.0	1	25.0%
30.0	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
0	5	27.8%
.	4	22.2%
7	2	11.1%
5	2	11.1%
1	2	11.1%
3	2	11.1%
2	1	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14	77.8%
Other Punctuation	4	22.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5	35.7%
7	2	14.3%
5	2	14.3%
1	2	14.3%
3	2	14.3%
2	1	7.1%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5	27.8%
.	4	22.2%
7	2	11.1%
5	2	11.1%
1	2	11.1%
3	2	11.1%
2	1	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5	27.8%
.	4	22.2%
7	2	11.1%
5	2	11.1%
1	2	11.1%
3	2	11.1%
2	1	5.6%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	4
Distinct (%)	100.0%
Missing	79
Missing (%)	95.2%
Memory size	792.0 B

Show TV	1
RTL4	1
BBC Two	1
USA Network	1

Length

Max length	11
Median length	9
Mean length	7.25
Min length	4

Characters and Unicode

Total characters	29
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	Show TV
2nd row	RTL4
3rd row	BBC Two
4th row	USA Network

Common Values

Value	Count	Frequency (%)
Show TV	1	1.2%
RTL4	1	1.2%
BBC Two	1	1.2%
USA Network	1	1.2%
(Missing)	79	95.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
show	1	14.3%
tv	1	14.3%
rtl4	1	14.3%
bbc	1	14.3%
two	1	14.3%
usa	1	14.3%
network	1	14.3%

Most occurring characters

Value	Count	Frequency (%)
o	3	10.3%
w	3	10.3%
	3	10.3%
T	3	10.3%
S	2	6.9%
B	2	6.9%
U	1	3.4%
r	1	3.4%
t	1	3.4%
e	1	3.4%
Other values (9)	9	31.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	14	48.3%
Lowercase Letter	11	37.9%
Space Separator	3	10.3%
Decimal Number	1	3.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	3	21.4%
S	2	14.3%
B	2	14.3%
U	1	7.1%
N	1	7.1%
A	1	7.1%
C	1	7.1%
L	1	7.1%
R	1	7.1%
V	1	7.1%

Lowercase Letter

Value	Count	Frequency (%)
o	3	27.3%
w	3	27.3%
r	1	9.1%
t	1	9.1%
e	1	9.1%
h	1	9.1%
k	1	9.1%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Decimal Number

Value	Count	Frequency (%)
4	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25	86.2%
Common	4	13.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3	12.0%
w	3	12.0%
T	3	12.0%
S	2	8.0%
B	2	8.0%
U	1	4.0%
r	1	4.0%
t	1	4.0%
e	1	4.0%
N	1	4.0%
Other values (7)	7	28.0%

Common

Value	Count	Frequency (%)
	3	75.0%
4	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3	10.3%
w	3	10.3%
	3	10.3%
T	3	10.3%
S	2	6.9%
B	2	6.9%
U	1	3.4%
r	1	3.4%
t	1	3.4%
e	1	3.4%
Other values (9)	9	31.0%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	4
Distinct (%)	100.0%
Missing	79
Missing (%)	95.2%
Memory size	792.0 B

Turkey	1
Netherlands	1
United Kingdom	1
United States	1

Length

Max length	14
Median length	12
Mean length	11
Min length	6

Characters and Unicode

Total characters	44
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	Turkey
2nd row	Netherlands
3rd row	United Kingdom
4th row	United States

Common Values

Value	Count	Frequency (%)
Turkey	1	1.2%
Netherlands	1	1.2%
United Kingdom	1	1.2%
United States	1	1.2%
(Missing)	79	95.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
united	2	33.3%
turkey	1	16.7%
netherlands	1	16.7%
kingdom	1	16.7%
states	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
e	6	13.6%
t	5	11.4%
n	4	9.1%
d	4	9.1%
i	3	6.8%
U	2	4.5%
r	2	4.5%
	2	4.5%
a	2	4.5%
s	2	4.5%
Other values (12)	12	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36	81.8%
Uppercase Letter	6	13.6%
Space Separator	2	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6	16.7%
t	5	13.9%
n	4	11.1%
d	4	11.1%
i	3	8.3%
r	2	5.6%
a	2	5.6%
s	2	5.6%
m	1	2.8%
o	1	2.8%
Other values (6)	6	16.7%

Uppercase Letter

Value	Count	Frequency (%)
U	2	33.3%
K	1	16.7%
T	1	16.7%
N	1	16.7%
S	1	16.7%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42	95.5%
Common	2	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6	14.3%
t	5	11.9%
n	4	9.5%
d	4	9.5%
i	3	7.1%
U	2	4.8%
r	2	4.8%
a	2	4.8%
s	2	4.8%
m	1	2.4%
Other values (11)	11	26.2%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6	13.6%
t	5	11.4%
n	4	9.1%
d	4	9.1%
i	3	6.8%
U	2	4.5%
r	2	4.5%
	2	4.5%
a	2	4.5%
s	2	4.5%
Other values (12)	12	27.3%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	4
Distinct (%)	100.0%
Missing	79
Missing (%)	95.2%
Memory size	792.0 B

TR	1
NL	1
GB	1
US	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	8
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	TR
2nd row	NL
3rd row	GB
4th row	US

Common Values

Value	Count	Frequency (%)
TR	1	1.2%
NL	1	1.2%
GB	1	1.2%
US	1	1.2%
(Missing)	79	95.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
tr	1	25.0%
nl	1	25.0%
gb	1	25.0%
us	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
T	1	12.5%
R	1	12.5%
N	1	12.5%
L	1	12.5%
G	1	12.5%
B	1	12.5%
U	1	12.5%
S	1	12.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	8	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	1	12.5%
R	1	12.5%
N	1	12.5%
L	1	12.5%
G	1	12.5%
B	1	12.5%
U	1	12.5%
S	1	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	1	12.5%
R	1	12.5%
N	1	12.5%
L	1	12.5%
G	1	12.5%
B	1	12.5%
U	1	12.5%
S	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	1	12.5%
R	1	12.5%
N	1	12.5%
L	1	12.5%
G	1	12.5%
B	1	12.5%
U	1	12.5%
S	1	12.5%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	4
Distinct (%)	100.0%
Missing	79
Missing (%)	95.2%
Memory size	792.0 B

Europe/Istanbul	1
Europe/Amsterdam	1
Europe/London	1
America/New_York	1

Length

Max length	16
Median length	15.5
Mean length	15
Min length	13

Characters and Unicode

Total characters	60
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	Europe/Istanbul
2nd row	Europe/Amsterdam
3rd row	Europe/London
4th row	America/New_York

Common Values

Value	Count	Frequency (%)
Europe/Istanbul	1	1.2%
Europe/Amsterdam	1	1.2%
Europe/London	1	1.2%
America/New_York	1	1.2%
(Missing)	79	95.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe/istanbul	1	25.0%
europe/amsterdam	1	25.0%
europe/london	1	25.0%
america/new_york	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
r	6	10.0%
o	6	10.0%
e	6	10.0%
u	4	6.7%
/	4	6.7%
E	3	5.0%
p	3	5.0%
m	3	5.0%
a	3	5.0%
n	3	5.0%
Other values (15)	19	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46	76.7%
Uppercase Letter	9	15.0%
Other Punctuation	4	6.7%
Connector Punctuation	1	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	6	13.0%
o	6	13.0%
e	6	13.0%
u	4	8.7%
p	3	6.5%
m	3	6.5%
a	3	6.5%
n	3	6.5%
d	2	4.3%
t	2	4.3%
Other values (7)	8	17.4%

Uppercase Letter

Value	Count	Frequency (%)
E	3	33.3%
A	2	22.2%
Y	1	11.1%
N	1	11.1%
L	1	11.1%
I	1	11.1%

Other Punctuation

Value	Count	Frequency (%)
/	4	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55	91.7%
Common	5	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	6	10.9%
o	6	10.9%
e	6	10.9%
u	4	7.3%
E	3	5.5%
p	3	5.5%
m	3	5.5%
a	3	5.5%
n	3	5.5%
d	2	3.6%
Other values (13)	16	29.1%

Common

Value	Count	Frequency (%)
/	4	80.0%
_	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	6	10.0%
o	6	10.0%
e	6	10.0%
u	4	6.7%
/	4	6.7%
E	3	5.0%
p	3	5.0%
m	3	5.0%
a	3	5.0%
n	3	5.0%
Other values (15)	19	31.7%

_embedded.show.network.officialSite
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	82
Missing (%)	98.8%
Memory size	792.0 B

https://www.bbc.co.uk/bbctwo	1

Length

Max length	28
Median length	28
Mean length	28
Min length	28

Characters and Unicode

Total characters	28
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	https://www.bbc.co.uk/bbctwo

Common Values

Value	Count	Frequency (%)
https://www.bbc.co.uk/bbctwo	1	1.2%
(Missing)	82	98.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://www.bbc.co.uk/bbctwo	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
w	4	14.3%
b	4	14.3%
t	3	10.7%
/	3	10.7%
.	3	10.7%
c	3	10.7%
o	2	7.1%
h	1	3.6%
p	1	3.6%
s	1	3.6%
Other values (3)	3	10.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21	75.0%
Other Punctuation	7	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	4	19.0%
b	4	19.0%
t	3	14.3%
c	3	14.3%
o	2	9.5%
h	1	4.8%
p	1	4.8%
s	1	4.8%
u	1	4.8%
k	1	4.8%

Other Punctuation

Value	Count	Frequency (%)
/	3	42.9%
.	3	42.9%
:	1	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21	75.0%
Common	7	25.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	4	19.0%
b	4	19.0%
t	3	14.3%
c	3	14.3%
o	2	9.5%
h	1	4.8%
p	1	4.8%
s	1	4.8%
u	1	4.8%
k	1	4.8%

Common

Value	Count	Frequency (%)
/	3	42.9%
.	3	42.9%
:	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
w	4	14.3%
b	4	14.3%
t	3	10.7%
/	3	10.7%
.	3	10.7%
c	3	10.7%
o	2	7.1%
h	1	3.6%
p	1	3.6%
s	1	3.6%
Other values (3)	3	10.7%

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	83
Missing (%)	100.0%
Memory size	792.0 B

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show._links.nextepisode.href	_embedded.show.webChannel.country	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone	_embedded.show.image	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel
0	1977899	https://www.tvmaze.com/episodes/1977899/obycnaa-zensina-2x03-seria-12	Серия 12	2	3.0	regular	2020-12-21	10:00	2020-12-20T22:00:00+00:00	55.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726673.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726673.jpg	https://api.tvmaze.com/episodes/1977899	39115	https://www.tvmaze.com/shows/39115/obycnaa-zensina	Обычная женщина	Scripted	Russian	[Drama, Crime, Mystery]	Ended	50.0	48.0	2018-10-29	2021-01-07	https://premier.one/show/8405	22:00	[Monday, Tuesday, Wednesday, Thursday]	7.7	39	NaN	281.0	Premier	Russian Federation	RU	Asia/Kamchatka	None	NaN	NaN	345280.0	tt8561620	https://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpg	https://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>	1610110841	https://api.tvmaze.com/shows/39115	https://api.tvmaze.com/episodes/1977905	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	2164195	https://www.tvmaze.com/episodes/2164195/ispoved-1x09-viktoria-bona	Виктория Боня	1	9.0	regular	2020-12-21	12:00	2020-12-21T00:00:00+00:00	48.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2164195	48683	https://www.tvmaze.com/shows/48683/ispoved	Исповедь	Documentary	Russian	[]	Ended	48.0	47.0	2020-05-11	2022-08-30	https://premier.one/collections/134	12:00	[Monday]	NaN	34	NaN	281.0	Premier	Russian Federation	RU	Asia/Kamchatka	None	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/285/713049.jpg	https://static.tvmaze.com/uploads/images/original_untouched/285/713049.jpg	<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>	1662030100	https://api.tvmaze.com/shows/48683	https://api.tvmaze.com/episodes/2383519	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1982407	https://www.tvmaze.com/episodes/1982407/volk-1x09-seria-09	Серия 09	1	9.0	regular	2020-12-21		2020-12-21T00:00:00+00:00	51.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1982407	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	[Drama, Adventure, Mystery]	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339		[Monday, Thursday]	NaN	24	NaN	281.0	Premier	Russian Federation	RU	Asia/Kamchatka	None	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg	None	1640435531	https://api.tvmaze.com/shows/52181	https://api.tvmaze.com/episodes/1982412	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1982408	https://www.tvmaze.com/episodes/1982408/volk-1x10-seria-10	Серия 10	1	10.0	regular	2020-12-21		2020-12-21T00:00:00+00:00	51.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1982408	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	[Drama, Adventure, Mystery]	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339		[Monday, Thursday]	NaN	24	NaN	281.0	Premier	Russian Federation	RU	Asia/Kamchatka	None	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg	None	1640435531	https://api.tvmaze.com/shows/52181	https://api.tvmaze.com/episodes/1982412	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	1988014	https://www.tvmaze.com/episodes/1988014/muzskaa-tema-1x03-seria-3	Серия 3	1	3.0	regular	2020-12-21	12:00	2020-12-21T00:00:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1988014	52520	https://www.tvmaze.com/shows/52520/muzskaa-tema	Мужская тема	Talk Show	Russian	[]	Ended	30.0	30.0	2020-12-17	2020-12-25	https://www.ivi.ru/watch/muzhskaya-tema	12:00	[Monday, Tuesday, Wednesday, Thursday, Friday]	NaN	3	NaN	337.0	ivi	Russian Federation	RU	Asia/Kamchatka	https://www.ivi.ru/	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/289/723328.jpg	https://static.tvmaze.com/uploads/images/original_untouched/289/723328.jpg	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>	1616722619	https://api.tvmaze.com/shows/52520	https://api.tvmaze.com/episodes/1988016	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	2062926	https://www.tvmaze.com/episodes/2062926/god-of-ten-thousand-realms-1x01-episode-1	Episode 1	1	1.0	regular	2020-12-21	10:00	2020-12-21T02:00:00+00:00	7.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2062926	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	[Adventure, Anime, Fantasy]	Running	7.0	7.0	2020-12-21	None	https://v.qq.com/detail/m/mzc002007995z4v.html	10:00	[Monday, Friday]	NaN	36	NaN	104.0	Tencent QQ	China	CN	Asia/Shanghai	https://v.qq.com/	NaN	NaN	394467.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg	https://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1642689319	https://api.tvmaze.com/shows/54541	https://api.tvmaze.com/episodes/2261133	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	2062927	https://www.tvmaze.com/episodes/2062927/god-of-ten-thousand-realms-1x02-episode-2	Episode 2	1	2.0	regular	2020-12-21	10:00	2020-12-21T02:00:00+00:00	7.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2062927	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	[Adventure, Anime, Fantasy]	Running	7.0	7.0	2020-12-21	None	https://v.qq.com/detail/m/mzc002007995z4v.html	10:00	[Monday, Friday]	NaN	36	NaN	104.0	Tencent QQ	China	CN	Asia/Shanghai	https://v.qq.com/	NaN	NaN	394467.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg	https://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1642689319	https://api.tvmaze.com/shows/54541	https://api.tvmaze.com/episodes/2261133	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	2062928	https://www.tvmaze.com/episodes/2062928/god-of-ten-thousand-realms-1x03-episode-3	Episode 3	1	3.0	regular	2020-12-21	10:00	2020-12-21T02:00:00+00:00	7.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2062928	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	[Adventure, Anime, Fantasy]	Running	7.0	7.0	2020-12-21	None	https://v.qq.com/detail/m/mzc002007995z4v.html	10:00	[Monday, Friday]	NaN	36	NaN	104.0	Tencent QQ	China	CN	Asia/Shanghai	https://v.qq.com/	NaN	NaN	394467.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg	https://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1642689319	https://api.tvmaze.com/shows/54541	https://api.tvmaze.com/episodes/2261133	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	2140388	https://www.tvmaze.com/episodes/2140388/going-seventeen-2020-12-21-going-vs-seventeen-2	GOING VS SEVENTEEN #2	2020	43.0	regular	2020-12-21		2020-12-21T03:00:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2140388	56655	https://www.tvmaze.com/shows/56655/going-seventeen	Going Seventeen	Variety	Korean	[]	Running	30.0	30.0	2017-06-12	None	None	08:00	[Wednesday]	NaN	69	NaN	122.0	V LIVE	Korea, Republic of	KR	Asia/Seoul	https://www.vlive.tv/home	NaN	NaN	330462.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/394/985825.jpg	https://static.tvmaze.com/uploads/images/original_untouched/394/985825.jpg	<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>	1662048054	https://api.tvmaze.com/shows/56655	https://api.tvmaze.com/episodes/2383576	NaN	https://api.tvmaze.com/episodes/2383577	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	2353914	https://www.tvmaze.com/episodes/2353914/300-year-old-class-of-2020-1x01-episode-1	Episode 1	1	1.0	regular	2020-12-21		2020-12-21T03:00:00+00:00	12.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2353914	62764	https://www.tvmaze.com/shows/62764/300-year-old-class-of-2020	300 Year-Old Class of 2020	Scripted	Korean	[Comedy, Fantasy, History]	Ended	NaN	15.0	2020-12-21	2020-12-28	None		[Monday]	NaN	50	NaN	30.0	Naver TVCast	Korea, Republic of	KR	Asia/Seoul	https://tv.naver.com/	NaN	NaN	410187.0	tt14125832	https://static.tvmaze.com/uploads/images/medium_portrait/414/1035476.jpg	https://static.tvmaze.com/uploads/images/original_untouched/414/1035476.jpg	<p>The series is a fantasy comic web drama that tells a story of three students, who were studying in Seowon during the Joseon period accidently time travel and arrive at present-day Seowon in 2020.</p>	1656357007	https://api.tvmaze.com/shows/62764	https://api.tvmaze.com/episodes/2353919	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show._links.nextepisode.href	_embedded.show.webChannel.country	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone	_embedded.show.image	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel
73	1969063	https://www.tvmaze.com/episodes/1969063/rooster-teeth-podcast-2020-12-21-okay-lunar-628	Okay Lunar - #628	2020	51.0	regular	2020-12-21		2020-12-21T17:00:00+00:00	90.0	<p>Join Gus Sorola, Gavin Free, Drew Saplin, and Barbara Dunkelman as they discuss Drew's hate for the moon, astrology, climbing very tall mountains and bouncing, and more on this week's RT Podcast!</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/343/857759.jpg	https://static.tvmaze.com/uploads/images/original_untouched/343/857759.jpg	https://api.tvmaze.com/episodes/1969063	6146	https://www.tvmaze.com/shows/6146/rooster-teeth-podcast	Rooster Teeth Podcast	Talk Show	English	[Comedy]	Running	90.0	90.0	2008-12-09	None	https://roosterteeth.com/series/rt-podcast		[Monday, Tuesday]	NaN	33	NaN	32.0	Rooster Teeth	United States	US	America/New_York	None	NaN	NaN	264458.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/23/59538.jpg	https://static.tvmaze.com/uploads/images/original_untouched/23/59538.jpg	<p>On a more or less weekly basis the Rooster Teeth (creators of Red vs. Blue) crew discuss gaming, films and projects that they are currently working on.</p>	1662130641	https://api.tvmaze.com/shows/6146	https://api.tvmaze.com/episodes/2383945	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
74	1995452	https://www.tvmaze.com/episodes/1995452/rooster-teeth-animated-adventures-2020-12-21-boulder-bs	Boulder BS	2020	50.0	regular	2020-12-21		2020-12-21T17:00:00+00:00	2.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1995452	6147	https://www.tvmaze.com/shows/6147/rooster-teeth-animated-adventures	Rooster Teeth Animated Adventures	Animation	English	[Comedy]	Running	2.0	2.0	2011-09-28	None	https://roosterteeth.com/series/rt-animated-adventures		[Monday]	NaN	34	NaN	32.0	Rooster Teeth	United States	US	America/New_York	None	NaN	NaN	260829.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/23/59540.jpg	https://static.tvmaze.com/uploads/images/original_untouched/23/59540.jpg	<p>The stories from the popular Rooster Teeth Podcast now in animated form!</p>	1661358770	https://api.tvmaze.com/shows/6147	https://api.tvmaze.com/episodes/2379012	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
75	1995453	https://www.tvmaze.com/episodes/1995453/rooster-teeth-animated-adventures-2020-12-21-deer-stalker	Deer Stalker	2020	51.0	regular	2020-12-21		2020-12-21T17:00:00+00:00	2.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1995453	6147	https://www.tvmaze.com/shows/6147/rooster-teeth-animated-adventures	Rooster Teeth Animated Adventures	Animation	English	[Comedy]	Running	2.0	2.0	2011-09-28	None	https://roosterteeth.com/series/rt-animated-adventures		[Monday]	NaN	34	NaN	32.0	Rooster Teeth	United States	US	America/New_York	None	NaN	NaN	260829.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/23/59540.jpg	https://static.tvmaze.com/uploads/images/original_untouched/23/59540.jpg	<p>The stories from the popular Rooster Teeth Podcast now in animated form!</p>	1661358770	https://api.tvmaze.com/shows/6147	https://api.tvmaze.com/episodes/2379012	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
76	2005525	https://www.tvmaze.com/episodes/2005525/this-week-in-tech-2020-12-21-the-year-in-review-og-twits-discuss-the-years-biggest-stories-and-trends	The Year in Review - OG TWiTs discuss the year's biggest stories and trends	2020	51.0	regular	2020-12-21		2020-12-21T17:00:00+00:00	120.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2005525	17584	https://www.tvmaze.com/shows/17584/this-week-in-tech	This Week in Tech	News	English	[]	Running	120.0	120.0	2005-04-17	None	https://twit.tv/shows/this-week-in-tech		[Sunday]	NaN	25	NaN	102.0	Twit	United States	US	America/New_York	None	NaN	NaN	144991.0	tt3541656	https://static.tvmaze.com/uploads/images/medium_portrait/59/148015.jpg	https://static.tvmaze.com/uploads/images/original_untouched/59/148015.jpg	<p>Your first podcast of the week is the last word in tech. Join the top tech pundits in a roundtable discussion of the latest trends in high tech. Hosted by Leo Laporte and friends.</p>	1648029023	https://api.tvmaze.com/shows/17584	https://api.tvmaze.com/episodes/2300104	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
77	1977578	https://www.tvmaze.com/episodes/1977578/atop-the-fourth-wall-12x47-solo-a-star-wars-story	Solo: A Star Wars Story	12	47.0	regular	2020-12-21		2020-12-21T17:00:00+00:00	25.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1977578	18971	https://www.tvmaze.com/shows/18971/atop-the-fourth-wall	Atop the Fourth Wall	Variety	English	[]	Running	25.0	25.0	2008-10-26	None	http://www.atopthefourthwall.com		[Monday]	NaN	29	NaN	40.0	Blip	United States	US	America/New_York	None	NaN	NaN	247956.0	tt1868207	https://static.tvmaze.com/uploads/images/medium_portrait/65/164161.jpg	https://static.tvmaze.com/uploads/images/original_untouched/65/164161.jpg	<p><b>Atop the Fourth Wall</b> is a comic book review show, hosted by Lewis "Linkara" Lovhaug. The show specializes in reviewing really bad comic books.</p>	1660915710	https://api.tvmaze.com/shows/18971	https://api.tvmaze.com/episodes/2330184	NaN	https://api.tvmaze.com/episodes/2330185	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
78	2036539	https://www.tvmaze.com/episodes/2036539/raw-talk-4x30-raw-talk-40	Raw Talk 40	4	30.0	regular	2020-12-21		2020-12-21T17:00:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2036539	22473	https://www.tvmaze.com/shows/22473/raw-talk	RAW Talk	Talk Show	English	[Sports]	Running	30.0	30.0	2016-10-30	None	https://watch.wwe.com/in-ring/Raw-Talk-1004		[Monday]	NaN	28	NaN	15.0	WWE Network	United States	US	America/New_York	None	NaN	NaN	335558.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/409/1024249.jpg	https://static.tvmaze.com/uploads/images/original_untouched/409/1024249.jpg	<p>On <b>RAW Talk</b>, Renee Young catches up with your favorite WWE RAW Superstars after each episode of "RAW" airs on the USA Network to hear their thoughts on all of that evening's action.</p>	1660234141	https://api.tvmaze.com/shows/22473	https://api.tvmaze.com/episodes/2350915	NaN	https://api.tvmaze.com/episodes/2350916	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
79	1977416	https://www.tvmaze.com/episodes/1977416/goede-tijden-slechte-tijden-31x65-aflevering-6320	Aflevering 6320	31	65.0	regular	2020-12-21	20:00	2020-12-21T19:00:00+00:00	23.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/289/723173.jpg	https://static.tvmaze.com/uploads/images/original_untouched/289/723173.jpg	https://api.tvmaze.com/episodes/1977416	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	[Drama, Romance]	Running	23.0	25.0	1990-10-01	None	http://gtst.nl/#!/	20:00	[Monday, Tuesday, Wednesday, Thursday]	NaN	83	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	19056.0	104271.0	tt0096597	https://static.tvmaze.com/uploads/images/medium_portrait/332/830481.jpg	https://static.tvmaze.com/uploads/images/original_untouched/332/830481.jpg	None	1662346277	https://api.tvmaze.com/shows/2504	https://api.tvmaze.com/episodes/2379702	NaN	https://api.tvmaze.com/episodes/2379703	NaN	NaN	NaN	NaN	NaN	112.0	RTL4	Netherlands	NL	Europe/Amsterdam	None	NaN
80	1988884	https://www.tvmaze.com/episodes/1988884/upstart-crow-s03-special-lockdown-christmas-1603	Lockdown Christmas 1603	3	NaN	significant_special	2020-12-21	21:00	2020-12-21T21:00:00+00:00	30.0	<p>The plague has hit London, and as Christmas approaches, Will and Kate are in wave fifteen of state-enforced home confinement together in Will's London lodgings.</p>	8.5	https://static.tvmaze.com/uploads/images/medium_landscape/291/728689.jpg	https://static.tvmaze.com/uploads/images/original_untouched/291/728689.jpg	https://api.tvmaze.com/episodes/1988884	9815	https://www.tvmaze.com/shows/9815/upstart-crow	Upstart Crow	Scripted	English	[Comedy]	To Be Determined	30.0	30.0	2016-05-09	None	http://www.bbc.co.uk/programmes/b0959g26	21:00	[Wednesday]	7.6	81	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	309790.0	tt4793190	https://static.tvmaze.com/uploads/images/medium_portrait/57/142763.jpg	https://static.tvmaze.com/uploads/images/original_untouched/57/142763.jpg	<p>Comedy about William Shakespeare as he starts to make a name for himself in London while also trying to be a good husband and father for his family in Stratford-upon-Avon.</p>	1658531810	https://api.tvmaze.com/shows/9815	https://api.tvmaze.com/episodes/1988884	NaN	NaN	NaN	NaN	NaN	NaN	NaN	37.0	BBC Two	United Kingdom	GB	Europe/London	https://www.bbc.co.uk/bbctwo	NaN
81	1972713	https://www.tvmaze.com/episodes/1972713/wwe-monday-night-raw-27x51-1439-tropicana-field-in-st-petersburg-fl	#1439 - Tropicana Field in St. Petersburg, FL	27	51.0	regular	2020-12-21	20:00	2020-12-22T01:00:00+00:00	180.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1972713	802	https://www.tvmaze.com/shows/802/wwe-monday-night-raw	WWE Monday Night RAW	Sports	English	[]	Running	180.0	181.0	1993-01-11	None	http://www.wwe.com/	20:00	[Monday]	7.5	95	NaN	15.0	WWE Network	United States	US	America/New_York	None	NaN	6659.0	76779.0	tt0185103	https://static.tvmaze.com/uploads/images/medium_portrait/357/892591.jpg	https://static.tvmaze.com/uploads/images/original_untouched/357/892591.jpg	<p><b>WWE Monday Night RAW</b> is World Wrestling Entertainment's (formerly the WWF and the WWWF before that) premiere wrestling event and brand. Since its launch in 1993, WWE Monday Night RAW continues to air live on Monday nights. It is generally seen as the company's flagship program due to its prolific history, high ratings, weekly live format, and emphasis on pay-per-views. Monday Night RAW is high profile enough to attract frequent visits from celebrities who usually serve as guest hosts for a single live event. Since its first episode, the show has been broadcast live or recorded from more than 197 different arenas in 165 cities and towns in seven different nations: including the United States, Canada, the United Kingdom twice a year, Afghanistan for a special Tribute to the Troops, Germany, Japan, Italy and Mexico.</p>	1659846022	https://api.tvmaze.com/shows/802	https://api.tvmaze.com/episodes/2348842	NaN	https://api.tvmaze.com/episodes/2348843	NaN	NaN	NaN	NaN	NaN	30.0	USA Network	United States	US	America/New_York	None	NaN
82	2152586	https://www.tvmaze.com/episodes/2152586/gang-wars-princes-1x11-serija-11	Serija 11	1	11.0	regular	2020-12-21	21:00	2020-12-22T02:00:00+00:00	44.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2152586	57009	https://www.tvmaze.com/shows/57009/gang-wars-princes	Gang Wars. Princes	Scripted	Lithuanian	[Drama, Crime, Thriller]	Ended	NaN	45.0	2020-10-12	2020-12-28	https://go3.lt/series/gauju-karai-princai,serial-2042036		[Monday]	NaN	16	NaN	518.0	Go3	NaN	NaN	NaN	None	NaN	NaN	401790.0	tt13229878	https://static.tvmaze.com/uploads/images/medium_portrait/350/876606.jpg	https://static.tvmaze.com/uploads/images/original_untouched/350/876606.jpg	<p>Based on true events, the new Go3 original series is a crime story that may have taken place in the late 20th century in Lithuania. The story about one of the criminal groups "Princes" shows their methods of action, lifestyle and relationships with other criminal gangs.</p>	1636217065	https://api.tvmaze.com/shows/57009	https://api.tvmaze.com/episodes/2152587	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

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None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation